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\n",
                "text/plain": "<Figure size 144x864 with 3 Axes>"
              }
            ],
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  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/sunyingjian/AI-in-well-logging/blob/master/%E4%BD%BF%E7%94%A8matplotlib_%E5%8F%AF%E8%A7%86%E5%8C%96_csv%E6%B5%8B%E4%BA%95%E6%95%B0%E6%8D%AE%E5%AE%9E%E7%8E%B0ui%E6%8E%A7%E5%88%B6%E7%9A%84%E6%B5%8B%E4%BA%95%E6%9B%B2%E7%BA%BF%E7%94%9F%E6%88%90.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o6Ii3d7Py4vH"
      },
      "source": [
        "# Exploring the FORCE 2020 Well Log Challenge - Part 1\n",
        "## Visualizing the well logs with matplotlib\n",
        "\n",
        "**Brendon Hall, Enthought**\n",
        "\n",
        "bhall@enthought.com\n",
        "\n",
        "It's time for another facies classification challenge! [FORCE](https://www.npd.no/en/force/) and [XEEK](https://xeek.ai/) have teamed up to bring us the [2020 FORCE Machine Learning Contest](https://xeek.ai/challenges/force-well-logs/overview). Peter Borman and his colleagues have curated a set of 100+ well logs from the North Sea. In addition to the log curves, each well has interpreted lithofacies.  This is an awesome addition to the open data that is available for building tools for digital geoscience.  Machine learning based facies classification is a popular subject, and this is an exciting new benchmark dataset.\n",
        "\n",
        "Since the [SEG Contest](https://github.com/seg/2016-ml-contest) in 2016, I've been impressed [how much innovation](https://www.linkedin.com/pulse/developments-machine-deep-learning-facies-brendon-hall) can come from an open dataset and a community interested in building new tools and techniques.  This time should be even better! The dataset is 10X the size and there are 4 years of new ideas to incorporate.  I thought it would be useful to create a few Jupyter notebooks that provide some ideas for getting started with this dataset. If you're new to Python and programming, this will help get you started exploring the data.  If you are more experienced, perhaps this will enable you to focus more on trying out different features or machine learning models.  In any case, you are welcome to use any or all of this code as you see fit.  If you have any suggestions or ideas for improvement, those are welcome as well.\n",
        "\n",
        "This notebook will propose a colorbar for visualizing the lithofacies interpretations, and show how to use matplotlib to create a flexible log and lithofacies plot.  This is based on the log plot in my [facies classification tutorial](https://github.com/seg/2016-ml-contest/blob/master/Facies_classification.ipynb).  If you are brand new to Python and 'geocomputing', check out this [tutorial](https://www.youtube.com/watch?v=iIOMiN8Cacs&list=PLgLft9vxdduD8Zydz4dRJqIzCWDlPKITC&index=2&t=1241s) by Rob Leckenby to get started.  \n",
        "\n",
        "Please get in touch if you have any questions!  You can also join in the conversation on [Software Underground's slack](https://softwareunderground.org/slack) in the **#force_2020_ml_contest** channel.\n",
        "\n",
        "The well log data is licensed as [Norwegian License for Open Government Data (NLOD) 2.0](https://data.norge.no/nlod/en/2.0/).\n",
        "The well log labels that are included are provided by FORCE 2020 Machine Learning Contest under [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eHOALRXEy4vI"
      },
      "source": [
        "%matplotlib inline\n",
        "\n",
        "import os.path\n",
        "\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "import matplotlib.colors as colors\n",
        "import matplotlib.pyplot as plt\n",
        "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
        "\n",
        "import ipywidgets as widgets\n",
        "\n",
        "pd.options.display.max_rows = 8"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X4-ABE-D0K9t",
        "outputId": "df8af3a6-4b95-4a6f-f543-42a02fc30e49",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 125
        }
      },
      "source": [
        "!git clone https://github.com/sunyingjian/numpy-private.git"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'numpy-private'...\n",
            "remote: Enumerating objects: 553, done.\u001b[K\n",
            "remote: Total 553 (delta 0), reused 0 (delta 0), pack-reused 553\u001b[K\n",
            "Receiving objects: 100% (553/553), 279.96 MiB | 20.58 MiB/s, done.\n",
            "Resolving deltas: 100% (120/120), done.\n",
            "Checking out files: 100% (539/539), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TkYQPFj70W94",
        "outputId": "3cfae3ef-524b-4e75-ffc1-aa613cbcaf3a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vLnr5tPf00RH",
        "outputId": "f7bab5f2-4d1c-4bed-f3f6-a9412f7c5d57",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        }
      },
      "source": [
        "!unzip /content/drive/Shared\\ drives/FORCE\\ 2020/挪威比赛.zip -d ./"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  /content/drive/Shared drives/FORCE 2020/挪威比赛.zip\n",
            "  inflating: ./test.csv              \n",
            "  inflating: ./train.csv             \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kZmWUakYy4vL"
      },
      "source": [
        "Let's start by loading up the training data.\n",
        "\n",
        "You can get the dataset on the [contest website](https://xeek.ai/challenges/force-well-logs/data).  We'll only use the training dataset for this notebook.  If you have already downloaded the data, change the `local_train_csv` variable below to point to the file.  \n",
        "\n",
        "If you don't have the data already, you can run the code below and download the data automatically from AWS-S3.  A local copy will be saved at the location specified by `local_train_csv`, so you won't have to download it every time.\n",
        "\n",
        "Note, we're also making an effort to make the seismic \n",
        "data for the [fault competition](https://xeek.ai/challenges/force-seismic/overview) available\n",
        "from S3, but through a simplified API. See this [repo](https://github.com/blasscoc/easy-as.git)\n",
        "if you're also interested in the fault mapping competition."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "enm9c9Bzy4vM"
      },
      "source": [
        "# change this to the location of the training data on your disk if\n",
        "# you have already downloaded it\n",
        "local_train_csv = '/content/train.csv'\n",
        "wells_df = pd.read_csv(local_train_csv, sep=';')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EvsAwSd2y4vO"
      },
      "source": [
        "我们需要数据集中所有井名的列表。"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ksPJCAYNy4vP",
        "outputId": "5f35e712-aa86-4298-c628-e3f238a5aceb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 513
        }
      },
      "source": [
        "wells_df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>WELL</th>\n",
              "      <th>DEPTH_MD</th>\n",
              "      <th>X_LOC</th>\n",
              "      <th>Y_LOC</th>\n",
              "      <th>Z_LOC</th>\n",
              "      <th>GROUP</th>\n",
              "      <th>FORMATION</th>\n",
              "      <th>CALI</th>\n",
              "      <th>RSHA</th>\n",
              "      <th>RMED</th>\n",
              "      <th>RDEP</th>\n",
              "      <th>RHOB</th>\n",
              "      <th>GR</th>\n",
              "      <th>SGR</th>\n",
              "      <th>NPHI</th>\n",
              "      <th>PEF</th>\n",
              "      <th>DTC</th>\n",
              "      <th>SP</th>\n",
              "      <th>BS</th>\n",
              "      <th>ROP</th>\n",
              "      <th>DTS</th>\n",
              "      <th>DCAL</th>\n",
              "      <th>DRHO</th>\n",
              "      <th>MUDWEIGHT</th>\n",
              "      <th>RMIC</th>\n",
              "      <th>ROPA</th>\n",
              "      <th>RXO</th>\n",
              "      <th>FORCE_2020_LITHOFACIES_LITHOLOGY</th>\n",
              "      <th>FORCE_2020_LITHOFACIES_CONFIDENCE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>15/9-13</td>\n",
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              "      <td>437641.96875</td>\n",
              "      <td>6470972.5</td>\n",
              "      <td>-469.501831</td>\n",
              "      <td>NORDLAND GP.</td>\n",
              "      <td>NaN</td>\n",
              "      <td>19.480835</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.611410</td>\n",
              "      <td>1.798681</td>\n",
              "      <td>1.884186</td>\n",
              "      <td>80.200851</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>20.915468</td>\n",
              "      <td>161.131180</td>\n",
              "      <td>24.612379</td>\n",
              "      <td>NaN</td>\n",
              "      <td>34.636410</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.574928</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>65000</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>15/9-13</td>\n",
              "      <td>494.6800</td>\n",
              "      <td>437641.96875</td>\n",
              "      <td>6470972.5</td>\n",
              "      <td>-469.653809</td>\n",
              "      <td>NORDLAND GP.</td>\n",
              "      <td>NaN</td>\n",
              "      <td>19.468800</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.618070</td>\n",
              "      <td>1.795641</td>\n",
              "      <td>1.889794</td>\n",
              "      <td>79.262886</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>19.383013</td>\n",
              "      <td>160.603470</td>\n",
              "      <td>23.895531</td>\n",
              "      <td>NaN</td>\n",
              "      <td>34.636410</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.570188</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>65000</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>15/9-13</td>\n",
              "      <td>494.8320</td>\n",
              "      <td>437641.96875</td>\n",
              "      <td>6470972.5</td>\n",
              "      <td>-469.805786</td>\n",
              "      <td>NORDLAND GP.</td>\n",
              "      <td>NaN</td>\n",
              "      <td>19.468800</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.626459</td>\n",
              "      <td>1.800733</td>\n",
              "      <td>1.896523</td>\n",
              "      <td>74.821999</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>22.591518</td>\n",
              "      <td>160.173615</td>\n",
              "      <td>23.916357</td>\n",
              "      <td>NaN</td>\n",
              "      <td>34.779556</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.574245</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>65000</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>15/9-13</td>\n",
              "      <td>494.9840</td>\n",
              "      <td>437641.96875</td>\n",
              "      <td>6470972.5</td>\n",
              "      <td>-469.957794</td>\n",
              "      <td>NORDLAND GP.</td>\n",
              "      <td>NaN</td>\n",
              "      <td>19.459282</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.621594</td>\n",
              "      <td>1.801517</td>\n",
              "      <td>1.891913</td>\n",
              "      <td>72.878922</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>32.191910</td>\n",
              "      <td>160.149429</td>\n",
              "      <td>23.793688</td>\n",
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              "      <td>39.965164</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.586315</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>65000</td>\n",
              "      <td>1.0</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1170507</th>\n",
              "      <td>7/1-2 S</td>\n",
              "      <td>3169.4644</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>VESTLAND GP.</td>\n",
              "      <td>Bryne Fm.</td>\n",
              "      <td>8.379244</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.537613</td>\n",
              "      <td>75.363937</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.019858</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.5</td>\n",
              "      <td>28.024338</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>26.840818</td>\n",
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              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1170508</th>\n",
              "      <td>7/1-2 S</td>\n",
              "      <td>3169.6164</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>VESTLAND GP.</td>\n",
              "      <td>Bryne Fm.</td>\n",
              "      <td>8.350248</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.491860</td>\n",
              "      <td>66.452843</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.049782</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.5</td>\n",
              "      <td>28.091282</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.018297</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>27.007942</td>\n",
              "      <td>NaN</td>\n",
              "      <td>65030</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1170509</th>\n",
              "      <td>7/1-2 S</td>\n",
              "      <td>3169.7684</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>VESTLAND GP.</td>\n",
              "      <td>Bryne Fm.</td>\n",
              "      <td>8.313779</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.447539</td>\n",
              "      <td>55.784817</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.903917</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.5</td>\n",
              "      <td>28.019775</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.011438</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>27.175179</td>\n",
              "      <td>NaN</td>\n",
              "      <td>65030</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1170510</th>\n",
              "      <td>7/1-2 S</td>\n",
              "      <td>3169.9204</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>VESTLAND GP.</td>\n",
              "      <td>Bryne Fm.</td>\n",
              "      <td>8.294910</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.430716</td>\n",
              "      <td>48.432129</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.150043</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.5</td>\n",
              "      <td>25.985943</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.011398</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>27.342442</td>\n",
              "      <td>NaN</td>\n",
              "      <td>65030</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1170511 rows × 29 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "            WELL  ...  FORCE_2020_LITHOFACIES_CONFIDENCE\n",
              "0        15/9-13  ...                                1.0\n",
              "1        15/9-13  ...                                1.0\n",
              "2        15/9-13  ...                                1.0\n",
              "3        15/9-13  ...                                1.0\n",
              "...          ...  ...                                ...\n",
              "1170507  7/1-2 S  ...                                2.0\n",
              "1170508  7/1-2 S  ...                                2.0\n",
              "1170509  7/1-2 S  ...                                2.0\n",
              "1170510  7/1-2 S  ...                                2.0\n",
              "\n",
              "[1170511 rows x 29 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T0EWRcJay4vS"
      },
      "source": [
        "well_names = wells_df['WELL'].unique()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DPlVY9B5y4vW"
      },
      "source": [
        "csv中的12个相标具有整数代码。 让我们添加几列，以使人类和机器都更容易理解这些代码。 我们将为岩性添加一个更具描述性的标签，还将添加一个用于可视化的整数值（编号为0-11）（以及以后用于监督式机器学习的标签）"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Vk9KliKly4vW"
      },
      "source": [
        "# map of lithology codes to description\n",
        "lithology_keys = {30000: 'Sandstone',\n",
        "                     65030: 'Sandstone/Shale',\n",
        "                     65000: 'Shale',\n",
        "                     80000: 'Marl',\n",
        "                     74000: 'Dolomite',\n",
        "                     70000: 'Limestone',\n",
        "                     70032: 'Chalk',\n",
        "                     88000: 'Halite',\n",
        "                     86000: 'Anhydrite',\n",
        "                     99000: 'Tuff',\n",
        "                     90000: 'Coal',\n",
        "                     93000: 'Basement'}\n",
        "    \n",
        "# map of lithology codes to integer label for ML\n",
        "lithology_numbers = {30000: 0,\n",
        "             65030: 1,\n",
        "             65000: 2,\n",
        "             80000: 3,\n",
        "             74000: 4,\n",
        "             70000: 5,\n",
        "             70032: 6,\n",
        "             88000: 7,\n",
        "             86000: 8,\n",
        "             99000: 9,\n",
        "             90000: 10,\n",
        "             93000: 11}\n",
        "    \n",
        "def map_lith_key(lith_map, row):\n",
        "    \n",
        "    lith_key = row['FORCE_2020_LITHOFACIES_LITHOLOGY']\n",
        "    \n",
        "    if lith_key in lith_map:\n",
        "        return lith_map[lith_key]\n",
        "    else:\n",
        "        print('Warning: Key {} not found in map'.format(lith_key))\n",
        "        return np.nan\n",
        "\n",
        "wells_df['LITHOLOGY'] = wells_df.apply (lambda row: map_lith_key(lithology_keys, row), axis=1)\n",
        "wells_df['LITH_LABEL'] = wells_df.apply (lambda row: map_lith_key(lithology_numbers, row), axis=1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HX91OFjPy4vZ",
        "outputId": "b8efddf4-ffce-4f8d-82ee-1923186e1a9e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        }
      },
      "source": [
        "wells_df[['FORCE_2020_LITHOFACIES_LITHOLOGY', 'LITHOLOGY', 'LITH_LABEL']]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>FORCE_2020_LITHOFACIES_LITHOLOGY</th>\n",
              "      <th>LITHOLOGY</th>\n",
              "      <th>LITH_LABEL</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>65000</td>\n",
              "      <td>Shale</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>65000</td>\n",
              "      <td>Shale</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>65000</td>\n",
              "      <td>Shale</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>65000</td>\n",
              "      <td>Shale</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1170507</th>\n",
              "      <td>65030</td>\n",
              "      <td>Sandstone/Shale</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1170508</th>\n",
              "      <td>65030</td>\n",
              "      <td>Sandstone/Shale</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1170509</th>\n",
              "      <td>65030</td>\n",
              "      <td>Sandstone/Shale</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1170510</th>\n",
              "      <td>65030</td>\n",
              "      <td>Sandstone/Shale</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1170511 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "         FORCE_2020_LITHOFACIES_LITHOLOGY        LITHOLOGY  LITH_LABEL\n",
              "0                                   65000            Shale           2\n",
              "1                                   65000            Shale           2\n",
              "2                                   65000            Shale           2\n",
              "3                                   65000            Shale           2\n",
              "...                                   ...              ...         ...\n",
              "1170507                             65030  Sandstone/Shale           1\n",
              "1170508                             65030  Sandstone/Shale           1\n",
              "1170509                             65030  Sandstone/Shale           1\n",
              "1170510                             65030  Sandstone/Shale           1\n",
              "\n",
              "[1170511 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IptHYj9Gy4vc"
      },
      "source": [
        "现在，让我们设置一个颜色图，以使可视化的测井变得更加容易。 在比较机器学习结果时，这也将很有用。 此颜色方案大致基于我[[]之前使用的颜色）。 砂岩为黄色，页岩为绿色，砂岩-页岩介于两者之间。 碳酸盐是蓝色阴影，盐是紫色阴影。 [凝灰岩]（当然是）是熔岩红（当然是），熔岩是黑色，地下室是橙色（因为为什么不）。\n",
        "\n",
        "如果您想选择其他颜色，这是一个可以帮助您的颜色选择器小部件。 单击颜色选择器工具底部的箭头，以更改为十六进制表示法。"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yw-DaInly4vd",
        "outputId": "5196a55a-2e16-4eb4-c3c2-e6cd98b68f98",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "06c39e5ca50f4781b8260e1547d4a471",
            "d6b6aac5e9194c338bb98af999646768",
            "366961726c9c4398a55dadedf7191833"
          ]
        }
      },
      "source": [
        "color_picker = widgets.ColorPicker(\n",
        "    concise=False,\n",
        "    description='Pick a color',\n",
        "    value='blue',\n",
        "    disabled=False\n",
        ")\n",
        "\n",
        "display(color_picker)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "06c39e5ca50f4781b8260e1547d4a471",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "ColorPicker(value='blue', description='Pick a color')"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8yX7i6kjy4vf"
      },
      "source": [
        "facies_color_map = { 'Sandstone': '#F4D03F',\n",
        "                     'Sandstone/Shale': '#7ccc19',\n",
        "                     'Shale': '#196F3D',\n",
        "                     'Marl': '#160599',\n",
        "                     'Dolomite': '#2756c4',\n",
        "                     'Limestone': '#3891f0',\n",
        "                     'Chalk': '#80d4ff',\n",
        "                     'Halite': '#87039e',\n",
        "                     'Anhydrite': '#ec90fc',\n",
        "                     'Tuff': '#FF4500',\n",
        "                     'Coal': '#000000',\n",
        "                     'Basement': '#DC7633'}\n",
        "\n",
        "# get a list of the color codes.\n",
        "facies_colors = [facies_color_map[mykey] for mykey in facies_color_map.keys()]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Oq9C4PGwy4vk"
      },
      "source": [
        "现在定义一个函数，该函数使用对数曲线以及岩相轨迹创建图。 此图将很灵活，因为我们可以提供要包含在图中的曲线助记符列表。"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xm7Vi3Ixy4vk"
      },
      "source": [
        "def make_facies_log_plot(log_df, curves, facies_colors):\n",
        "    \n",
        "    #make sure logs are sorted by depth\n",
        "    logs = log_df.sort_values(by='DEPTH_MD')\n",
        "    cmap_facies = colors.ListedColormap(\n",
        "            facies_colors[0:len(facies_colors)], 'indexed')\n",
        "    \n",
        "    ztop=logs.DEPTH_MD.min(); zbot=logs.DEPTH_MD.max()\n",
        "    \n",
        "    cluster=np.repeat(np.expand_dims(logs['LITH_LABEL'].values,1), 100, 1)\n",
        "    \n",
        "    num_curves = len(curves)\n",
        "    f, ax = plt.subplots(nrows=1, ncols=num_curves+1, figsize=(num_curves*2, 12))\n",
        "    \n",
        "    for ic, col in enumerate(curves):\n",
        "        \n",
        "        # if the curve doesn't exist, make it zeros\n",
        "        if np.all(np.isnan(logs[col])):\n",
        "            curve = np.empty(logs[col].values.shape)\n",
        "            curve[:] = np.nan\n",
        "            \n",
        "        else:\n",
        "            curve = logs[col]\n",
        "            \n",
        "        ax[ic].plot(curve, logs['DEPTH_MD'])\n",
        "        ax[ic].set_xlabel(col)\n",
        "        ax[ic].set_yticklabels([]);\n",
        "\n",
        "    # make the lithfacies column\n",
        "    im=ax[num_curves].imshow(cluster, interpolation='none', aspect='auto',\n",
        "                    cmap=cmap_facies,vmin=0,vmax=11)\n",
        "    \n",
        "    divider = make_axes_locatable(ax[num_curves])\n",
        "    cax = divider.append_axes(\"right\", size=\"20%\", pad=0.05)\n",
        "    cbar=plt.colorbar(im, cax=cax)\n",
        "    cbar.set_label((12*' ').join(['  SS', 'SS-Sh', 'Sh', \n",
        "                                ' Ml', 'Dm', 'LS', 'Chk ', \n",
        "                                '  Hl', 'Ann', 'Tuf', 'Coal', 'Bsmt']))\n",
        "    cbar.set_ticks(range(0,1)); cbar.set_ticklabels('')\n",
        "    \n",
        "    for i in range(len(ax)-1):\n",
        "        ax[i].set_ylim(ztop,zbot)\n",
        "        ax[i].invert_yaxis()\n",
        "        ax[i].grid()\n",
        "        ax[i].locator_params(axis='x', nbins=3)\n",
        "\n",
        "    ax[num_curves].set_xlabel('Facies')\n",
        "    ax[num_curves].set_yticklabels([])\n",
        "    ax[num_curves].set_xticklabels([])\n",
        "    \n",
        "    f.suptitle('Well: %s'%logs.iloc[0]['WELL'], fontsize=14,y=0.94)\n",
        "    \n",
        "    plt.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "I-80mKvYy4vn"
      },
      "source": [
        "让我们尝试一下以获取样本。 包括标准的“三合一”日志。"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y15Gh-f0y4vo",
        "outputId": "1c477648-15c5-4dfd-a720-f980e3e3e8fd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 766
        }
      },
      "source": [
        "make_facies_log_plot(\n",
        "    wells_df[wells_df['WELL'] == '16/10-3'],\n",
        "    ['GR', 'RHOB', 'NPHI', 'RDEP','RHOB'],\n",
        "    facies_colors)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x864 with 7 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PoPOHJWNy4vr"
      },
      "source": [
        "现在让我们对所有曲线进行尝试。 首先，定义一个包含所有曲线名称的列表。"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EPuvzSLBy4vr",
        "outputId": "55bda0f8-48dd-4d78-bd2e-27e73d77186f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 511
        }
      },
      "source": [
        "columns = ['CALI', 'RSHA', 'RMED', 'RDEP', 'RHOB', 'GR', 'SGR',\n",
        "           'NPHI', 'PEF', 'DTC', 'SP', 'BS', 'ROP', 'DTS', 'DCAL', 'DRHO',\n",
        "           'MUDWEIGHT', 'RMIC', 'ROPA', 'RXO']\n",
        "\n",
        "make_facies_log_plot(\n",
        "    wells_df[wells_df['WELL'] == '15/9-13'],\n",
        "    columns,\n",
        "    facies_colors)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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4X3+4boqu/+N7kqSF60q1+0i1hhQ5V3UHSHSvbijTqxsOSJJ+PHesZo3t73BEAIDusvVAZdhyr9wMzZ04yKFoAAAAus1WSdWR7JgSiTedsWTjgVBHXGt+f91kuUo3aOZZxbEJCinDHbwW7/VxoSURePxWizcGOhkrarzKz6GSCU7474f7wpJuGmzYX6HThhQ4EFFy+eeK3WHLm8qOq/i2+Xr3jgtD0/YBQCL69/t7JEn//WCfvjxjhMPRAB3zyvoy/fmdna2u//y0obpv7jjHE9Xf3R4+HXcmydBAlyzdfFCS9OS1Z+hikm4AIKmdOaJI6/dXSJL+eP0UzTy5r8MRAQAAdIvbJb1ljHlXUl1Do7X2pvZ2JPGmkVqPr82km/NP7qPvX3yyxg3KV0nphhhGhlSxYf9xSZKLqaYSwpJd3tBtkm7Q1JnDi5q1/etr00m6iZLfXzdF/1yxR7f8e3VY+6+XbNG9cylvDyBxXXbaQL3w4T7tPVbjdChAh10zdajOGFao47Ve3f7sGvXpkam/3TjN6bCaeWLp1rDlPnmZDkUCJId6b2DQ0I1/Xqlrpw1jmikASFK1Hp/+8OaO0PLofnnOBQMAANC9fiPpNUlrJPk7syOJN0E/mb9ev122vdX1O+bNiWE0SFUNZc6zGHmZEM4amKanN9arZxZvpQj33Ko9+t7fP2zWzsWd6Ln3hfX641s7wtruuexUfY5pIAEkuL1HA5VMJwzOdzgSoOOMMRrTv6ckKd3tUm5mfJ4fv/Ctc3TZ429IkgYVZDtegQdIdLddOkYL1+5XVb1Pf35np75/8UkqyMlwOiwAQJSlu10qyEnXsWqPJOnsea9pSnGh/vm1sxyODAAAIOrSrbU3R7IjV/clHaqsazXpZnTfHrpv7lg9v2qvDlTUxjgypJqcDLckqc7bqQQ6OKRHhtHciQOVkeZ2OhTEmdF9Wx750yNOL0IloqZJNx/efbGuO3u40t2c2gBIbA3TFG4qrXQ4EiAylXUe5cVpYvqG4PQIkqgqBURBn7xMjR10IlG0osbbxtYAgETldhl94vRBYW3De+c6FA0AAEC3eskYc6MxZoAxpqjhpyM7cnVK0u/faL3SzUcHKnXXf4SJR6wAACAASURBVNbpu3//QFN/uljr9pXHMDKkmobxltbRKNAZBdnpOl7rkc/PUcMJ4wbla8e8Ofr15yaFtd/933UORZT8ln100OkQACAqBhVkS5L2kRSABFVV51NuZnwmps89fWDY8t/f2+VQJEByKKuo1fLtR0LLTMEMAMlpY2lF2FRTC26aoQevPM25gAAAALrPZyXdLuktSSuDPys6siOJN5JumTVGz3/zbC367rl68dvnaFivnFa3LaPqDbpRQ6WbDCo2JIy9x2qpUIRWVdWFj/h8cfV+lQfL8qJrFtw0I2z5W0+vUsmmAw5FAwDR88lJgZGkfZmeEAnmuVV7VHzbfB2pqtdf3tmlMXe9pPX7KtrfMYZq68PP208Z0NOhSIDkUF3vC92ePb4/FT4BIEkNLgy/XjL7sWUqLa9VrcfXyh4AAACJyVo7vIWfER3Zl2/EQROHFIRuXzZhoB5fsqXZNjvmzYllSEhBWemBkaFNL9YjfhUHE/X2HK3W0KIcGWPa2QOpYGNphZ5ZvrvZdEiStPNIlfp5s5TmMkpPcynd5VK628jtMvz/dMLsx5aFLffMStPU4R2q9gcAcW33kWpJ0t9X7NYPP36qw9Egle06XK2GUxO/tfL5rfw2cNtvrXZV+LR2b7lW7Diie15Y32z/Wo9fsx9bpismDpTLZeQ2RkOLcvS5acNUlJsR478moGkF2wcWbNRfv3ymXC7OwYBINJ5m5NzRfeTmtQQASalHZppe+/55uuCRpaG2aQ8sliStu/cS5WS46dMCAABJwRhzlaSF1trjxpgfSpok6T5r7ar29k3ZxBu/3+qT//uWKmo8OnNELzU+L3z63ZbLTb+77bDOHNErRhEiFTX0Uf1jxW596ozBzgaDDqmoDVQvOe+hEknSmnsuVl4W5bVT3ccfe0PeVqYfu/zxN9vd/6OfXKp0Kl+1yFqr4bcvCGu7/uxi3X3ZWIciAoDo2hVMvPnOhaMdjgSpqKLWown3vNzxHd56o91Nnv9gX9hyjcenW2aN6WxoUfG/S7eGLb+97bCqPT6qdAARsvbEd55++VkORgIA6G6f/s07LbaPvXuRJGnz/ZcqI42+LAAAkPDustb+0xhzjqSPSXpI0hOSzmxvx5TtXXp722F9sPuYJGnboaoO7VPvYzoZdK+G0WKDCrMdjgQd9aPLxionI01/fGuHJg0tUE5Gyr6topElP5ipl9eXKd1t5DJGe7d/pLFjT5XH55fHZ3W0ql4PvLSx1f1tyzk7kPTXJsmxz9w4TVOKqXQDIHk0JPCO6c8UOIi9rDR3h7ab98nx2rt9s8aPGyeXMXK5JGMC5z2SVOfxqc7rD6+U47dyu4xmjx/QnX9Cm+6+7FR97Oevh7WRdANEzhijMf3z5LdW55/c1+lwAADd6FBlXYvtaS6jz08bpnQ3FW8AAEBSaJhLc46kJ621840x93dkx5TtYZo2opdunTVGHp9fhTnp8visPD6/Hn9ti463Ms3PjU+t1EvfmaE0t2m1kgHQFcYYZbilXg6VXkfn9chMU7rbKDPNpWdunE5pbUiShhTl6EvnDA8tl9Ru18wJA8O26dUjUwvXlurVDWWhthvOHq4fXca0Im1pmJKvwaHKOl53AJJKQwL24aqWO7aB7pSR5tKOeXO0+0i1th6slDFGX/z98mbbvb3tsD7RP00zx/Z3IMqu4JwBiLZ6r5+XFgCkmJwMt0b0ydXtl56is0f1djocAACAaNprjPmNpIsk/cwYkympQ2X9Ujbxxu0y+vrMkc3av3reSPn9Vs9/sFfGSGUVdZoXrEpQ4/Fp5sMloW23zrRc7ENUWWvl8Sk0UhSJwW8ln9/qWHW9+vakvDY65sozBmv2+P469UeLQm2/f3O7nl21R0u+P1OFJOC1KLNJ2eLBhTkORQIA3WNoUeB9rc5LtU04Z0hRjjw+vy54ZGmL6y8/baBUVh7jqLpuVN8eTocAJJUDx2u17VCVMtNc8vj8TJcLACni7dsvVH52utNhdMhf3tmp/Ox0XXbawPY3BgAAkD4taZakh621x4wxAyT9T0d2TNnEm6Z8fqtF60pVU+/T3mM1+vkrm0PrjGl52o8N+ys0blB+DKNEsjPGKNPNhZZEM6W4UL97Y7vW7C3XhSTeoIP8fqslGw/qlAE9tWF/Raj9WLWHqmpt+PbfVoVuD++dq4lDChyMBgCi7+T+eZJEqXY4avuhqlaTbqTAlGjVMYwnmmaN7a+F60pDyz4/A2qASP1y8RZJgT6M0Xe+pD/dMFXnndTH4agAANG2dm94wvX3//GBMtPcykhzKd1tlJ+druvOHq6B+VkycTag9C/v7NTQohwSbwAAQIdYa6slPWuMyTHGTJa001r7ckf2JfEm6ImlW/XQok0trmuadPOraybp4Pb1JN2gW/jFhZZE0zMrMMLD4yNZAi2z1qr4tvkd2nb5HReqT15mN0eUuK6eMkTPvLdbklRe43E4GgCIvvtfXC9JCTOCFMnpSAtTnT3/zbPDEl5LdsYyouioqvOGJd18+4JRJN0AXfDJSYP053dOvBlkN5kWFgCQHMYO7BmWvPzqhgPNtvntsu2aWlykf3xteqzDAwAA6DJjzOWSHpN0RNIPJf1KUpmkYmPMrdbaP7V3H9SADfrC9GGhsu5tGd47V3MmDFBxPp0J6B5+K7no/E0oOw4Hxvs2jFAHIjW8d66KmGKqTQ1JN1Kg4wcAks32Q1WSpLEDSfKHc84YVqRN988KLd9z2alJUWXupbWlYcsXndrPoUiA5PDv9/dIkp77xlnaMW+Opg4vcjgiAEB3MMbol9ec3u52y3cc0Utr9scgIgAAgKi7T9LFkr4q6R+SLrTWTpM0QdIPOnIHJN4E/WT+Bu060nqx7L55mRpUkK0fXXZqDKNCKrJWcsdZSU60rWFEep3X53AkiFeeDs4e99QNU5Xm5qO5LY2rAS376JBqPbzuACSX6SN7SRLTDsJxH+4u188/fZokac3eCvmS4H/yU5MGhS1TnQPomiUbD0qSPvHrt/SrJVtkW5qnHQCQFNLb6a86a2QvXT1liM4f0zdGEQEAAESV31q72Vr7nqTt1tptkmStPSDJ25E7YKqpoMYj6Jt66MoJumrykBhGg1TmMpLH18Gr9IgLDRf+j9d26H0XKagjs5BNH9FLgwqyuz+YBHfwePjUF0wPASDZjBuUrze3HNby7Yf1idMHOx0OUtTKnUf16d+8HVr+9/t7QpUtGjx2QfsVY+ONMUaj+vbQlgOVkqQVO49qdD+qVgKRajz160OLNum6s4qVm0lXIwAko7amUP/VNZM0Z8KAGEYDAAAQdS5jTKEChWv8wdsNF6A6NGKeb8NBJT+Yqd+/uV21Hp/+sSK8Q3Fk3x4ORYVUZCW5XVS8SCQNBYoYMYvWZKcZ7Zg3R5Lk81sdr/WovMajSx9dpur6QOLW29sOa8QdC7TxvlnK4n+pw9obcQUAiWbP0RpJ0v8t207iDRxT3CtHE4cUaP2+Cnn8frVUxGJlqVeXxz60LhvdKPHmoUWb9NmpQx2OCEhclXWBwSdv3XaB+uZlUr0TAJJU04pmt186Rl88q1iZaS4ZKrcDAIDkkC9ppU4k27zfaF2HyruSeBNU3DtXP547TruPVDdLvLn7P+v0wrfPcSgypBx7IpEDiaHhwv+hyrp2tgQCFVoKcjJUkJOhfj2ztP1QVdh6Ekk6rrhX4o20B4COKu6V63QISGFTfvKqWppZaurwIt10wWj5rZVv79rYBxYFORknukGOVNU7GAmQ2DyN3iQGUrkTAJJa0yTsB17aqC+dM5ykGwAAkDSstcVdvQ+u7jVRmJvRrO2skb0ciASpihnRE8+B4NQ3J1GmHp3w4up9zZJufnPtGUyd1I7zT+4Tur3jcLWDkQBA9zhzeJEkqWd2usORIJX95ctnttj+5LVn6JzRvXXuSX0S9kLL56ZR4QaIhmO1J3ovdh6uamNLAECia3raN6Z/Hv1XAAAATZB400TT08UemWm6ddYYR2JBavJbyZ2gndipqmFe+755mQ5HgkRx/sMl+tbTq5q1Tx5W6EA0iWXG6D7tbwQACezfKwPVNycMznc4EqSys0b21o55czSlOHBusuqui7TlJ5eqIKf5QJVE89P5G8KW/S2V9gHQrj45Ln33Y6MlSec9VKIFa/Y7HBEAoLvUef1hyxtLj+t4nZfzKAAAgEZIvGnkG39dqbF3Lwprq6zzavw9i7T7SHWzuUyB7mAlMWAgseQHR6RX1HodjgSJYNWuo80q3UjSvZePVWESXMzqbjecM9zpEACgWw0LTjG1dm+5w5Eg1S1Ys1/v7Tiq3Ay3CnMzlJYk02FePLZf2HJVPefwQKS+dM5wnTKgpyTpZws3OhwNAKC7ZKW7dUmTc6gJ97ysEXcs0Lf/1nxgGQAAQCpKjp6zKLnqjCEttlfV+zTjwSUafvsCFd82X7c/uybGkSGVZLql6nqf02GgE7y+wKgPj8/fzpaANGFwgW48d4RO6tcjrP3u/67TiDsW6JX1ZQ5Flhje+OhQ2DLPF4BkMzU41VROhtvhSJCKSstr9c2/vq+5v3pT3/jr+5IC34dLNh1wOLLoGVqUG7Zc4+G7FxCpvKx0/fKzEyVJRS1M3Q4ASA4+v9WidS33v8w9bWCMowEAAIhPJN40cv6Yvtoxb44evuq0NrebMbp3jCJCKkp30fmbaAYVZkuS3tp6qJ0tAcntMrpj9imaf9OMFtf/umRLjCNKLBtLK8KW/7Vyt0ORAED3OFpVL0l6bWPyJDogcTy4cKPmr9mvD3cfC2s/c3gvhyLqDuGVbEs2HXQoDiA5vL3tiCRp/7FahyMBAHSXfcdqWl335adWaPjt87W/vPVtAAAAUkGa0wHEizqvT4cr61Xj8enNLS1fPL9kbD+dOiBfs8cPUEnJphhHiFTBLFOJZ3BhjiSptLzO4UiQCKrrvfrLOzvVu0em0t1GHl/4xZ+RfXq0sick6TNThuj++RtCy098/gwHowGA6HMF5xzt1zPL4UiQam58aoVebqWS3Ck/Whi2vOyW82MRUreYNLQwbJnvX0DkPD6/7np+rSSptKJW/++VzTJGMjL65KRBGlKU43CEAIBoyM9Jb3O9tVINFdwBAECKI/Em6OQfLmxz/RenD9O9c8fFKBqksqw0o2M1HqfDQCecGpzT/k9v7dDXZ450OBrEuy/9cYXe3na41fV3zD4lhtEknrys8M6ezWWVOrl/nkPRAED0vbs9UDkgM43ipIitk/vntZp401huhls9MhO3K6FPXmbY8u6jjM4GIuX1WeVlpul4nVeS9Ojij0Lr9h2r0c+unOBUaACAKHprS8v9WAPzs/TW7RfGOBoAAID4lLi9ZVE2pn+eNpYeD2szRvrnV6drVN8eKshhrmp0P5/f6kit1aCCbKdDQSf8/b1dkqRvnk/SDdpXXe9t1va180bqs1OHaEB+tjK40NqmplNfAECyOVARmKrjolP7OxwJUs33Lz5Z37/45NCytVZj7lqoOq9fE4cU6LlvnCVjEr8+zJq95WHLSzcd0M0XneRQNEBiy85wa829l6j4tvmhtstPG6hxg3rqiomDHIwMABBN54zu3azturOKdf3ZxbEPBgAAIE6ReCPpPx/sbZZ0IwVKJGZnuEm6QcwcrqyTz4pyzAlk5c4j+vGL6yVJ15w5zOFoEE/e3HJIn/u/d0PLY1cvU73Xr48OVIZtt/j75zG9VCf86D9rw5YPHK+l4g2ApDKoIFsbS49rRgud20AsGWO07Nbz9clfv6UPdh/TyDsWKDvdrewMt7LS3fJ7atV77RvKSncrO92tCYPzwxJ34tWEwQX6+adP083/+FCS9OGecnl9fqW5SX4GIrH7SLUkqX/PLD169URlprvlt1Yev21nTwBAomip2uGts8YoO8PtQDQAAADxKeUTb+q8Pu08XN2s/emvnKkpxUVKp/MNMbS/PDDCuV+T8ueIT35r9ZWnVio/O0M3XThKblfijwBGdHh9/rCkG0kakJ+ldLdLYwb0lM/v14I1pRo7sCdJN530x+un6vT7XgktX/u75ZKkmy86STddONqpsAAgakb0ydXijYELmSRjw2l987L0h+um6OX1Zaqp96nGE/iprfdp175S5eVmqMbj0+ay41q6+aC+97GT5EqAc+Kmry3O44HIPROsAFtaUavPPPlO2LoP775Y+dnpLe0GAEgw6398iU790aLQ8rOr9uhzDEIEAAAISenEm7V7y/XxX77R4rprfhu4YDq1uEiPf+509c3LimVoSFF1Xr8kKScjpV+aCaPGKx2pqtcNZw/XF6YXOx0O4sjByrpmba9uOKAPfnQRVdS6qDA3QzvmzdFzq/boe3//MNT+81c2k3gDICnsPlIjSVq/v0JnjaLqDZw3ul+eRvdrXl2upKREM2dOlST9ZulWPfDSRtV4fMptYUR0vLnqibdDt9fee0lSTKEFOGXC4IKw5ZP75Sk7w61rpw1Tz6z4fz8AAHTMoeP1Yct3PrdWdz63VrfOGqOvzxzpUFQAAADxI6XLuTQtkdi7R6ZOGxLeYbB8xxFN/clilVXUxjI0pCivL5B4k+am4zcR5KYbjemfp+dW7ZG1lNHGCQPys/Xit89p1j7xx6+o+Lb5Kr5tvo5V17ewJzpi5+GqsKQbSXroygkORQMA0VVR65Ek3T9/g8ORAB2XE/xuXVnndTiSznts8UdOhwAktK/+eaUk6YIxffXWbRdo0ffO1fPfPFufOmMwSW0AkETOfWhJi+2TiwtjHAkAAEB8SumhJ8W9c7Vj3pywNmutHl38kX7xanjn28qdRzV7/IBYhocUVB9MvGGKs8RR3CtXG0uPq6re1+J8x0hd4wblhz5j7n7qFf1pfXiiTUOFK3ROrcen8x4qCWt7/JrT9fEJA50JCACibHTfHnpr62GNH5TvdChAhzVUtaio8ahfz/ivFrv6nos14Z6XJUlPvr5Nd8w+xeGIgMT3idMHaWBBttNhAABi4P27LlJRLhWdAQAAGuMqsQKj8u54do3+++G+FtdPGlpA0g1iwusLVE1Jp+JNQrDW6p3thyVJuRluh6NBvCiv8ej0H78sfztFkApy0mMTUJJxtTBqdmpxkQORAED3eGtr4Nzi0vH9HY4E6Lj87MB5TUPFpnjXMyv8PGxjaYXG9O/pUDRAYvvzl6bq2t8t18J1pbrsNJLhASAVTLrvlbDl5XdeqL558Z98DQAA0J1SPvFmf3mNpj/wWqvrF333XJ3cv/l89kB3aLhOX1XnczQOdIzXSseqPcpKd1FCGyFHq+rbTLr55WdPp0O6CzLSXCrMSdfR6hMX9vrkZToYEQBEV0Piwhi+gyCB9AhNNZWY32OOVSdGwhAQj5ZuOihJmjGqt8ORAAC6059umKov/n55s/bsdLcy3QxIBAAASPn5bP7w5o5W133uzKEk3SCmXMHcjfKa+rY3RFxo6J9vOmIWqa24d65G9+3R6vpv/22Vim+br+v+0LyzAh2TkRZ++vLMe7tlbTslhgAgQfiC2ZuJmsCA1JQdrP5YU5+Y/7ePNplqGkDHbTlYKUl6+OXNDkcCAOhOG/dXhC1v++ls7Zg3Rxvum6V8qjoDAACQeHP7pWP0wCfHt7hu8YYDqvUkZschElNlnVeSVMP/XULYeCRwnDheaOqFb5+jO2ef0uY2xb1yYxRN8rnlkjFhy7c/u0aPLd7iUDQAEF0NJdp3HqpyOBKg405UvPE6HEn7/H7bbLR2UW6G6r1+hyICEtsjV50mSTpUWedwJACA7vTASxtDt++cfYpcLqp/AwAANJbSiTevbz6o4bcv0O3PrmlxfWlFrep9dL4hdhpKnGenU54zEfiCBTaO18b/BQbE1ge7j+knCza0uc09l4+NUTTJZ+7E5lN1/b9XN8vf1hxfAJAgdh+tlhT4LgIkivzswCjn8pr4n7LJb62Wbj4Y1jZ/zX798jWq3gCReHPr4dDtAxW1Kq/2qNbj49wcAJLM7PH9Q7f3l/NdBQAAoKmUTrwpzMlodd3/XHKyVt11EVPIIKY8wUSvptOoIP4sWleqJ1czog8tG1SQ3eb6V28+N0aRJKc0t0uv/8/5zdoPV9Wrqs4bmqYFABLRnPEDJCVG5RCgQW6w4k1VAvzfprld+up5I8LarjxjsL4+c6RDEQGJbUjhie8+U3+6WKf9+GWNuWuhRtyxQF4GswFA0miocChJv39zu97bccTBaAAAAOJPWvubJJ+dh6t03kMlbW7z0KJN2nW4Wj+7ckJsggIk9cnLlJQYI0VTXcOoXqAlQ4pytGPeHEnS7iPVmvHgktC6n3/6NI3qm+dUaEnhtY1luuGPK5q1T/nJq6HbL31nhk4Z0DOWYQFAVKzZWy5JumLiIIcjATou3e1Sutuouj4xpmD9wvRi/WbpttDyjNG9lZORkt0jQJf4/VbX/PbdFtfdcPZwuZmGBACSxrxPTtA/VuwJLffKbX1QMwAAQDStLavWqAdXOh1Gu1KuZ2ljaYVm/WJZu9vddMEoXXf28BhEBJwwblC+JMmIzql4N21EL/1xVq6e3Z+v1zYecDocxJm/v7dLt/675WkMb/7Hh/rE6YNkDK/zSGwuO95i0k1TuVw8A5CgGhKw//7ebp0/pq/D0QBts9bqlfVlemH1fnl8Vk8s3aqlmw/q6S+fqcI4vhhjbXh1vIYpfwF0zgur96nGE0i4+++3ztbovnnKzmDqbABIRq4myZQXPLJU918xTp+fNsyhiAAAAOJLyl2Ven/nsQ5t99hrW/TYa1tCyxeO6SuftfLbQCddel2dpp3tU1Y6HQqIngMVgamLMplqKiEcqPZr/pr9SneTQIFwjy/Z0ub64bcv0J9umKrzTuoTo4iSx/HalqewePTqiZpLdQgASWBknx7ac7RGPbNT7qsaEtATS7fpZws3hrVt2F+h0+97RX3yMvXGrecrMy3+vjMPLswJW+b1BkSm8fTslz/+pjbdP8vBaAAA3ena3zWvcPbo4o9IvAEAAAhKud6la84cqqunDNHR6nodqarX0WqPjlbXa/7q/frvh/ta3W9xCxUt3t1+hIumiKrl2wNz4xbkxO/oUJzwp3V18vmtfH7b/sZIKctuuUBen1+rdh/TVU+83eI2L68r5TMkAmcMK9T2B2Zr+O0LwtrPGtnboYgAILpOH1qgpZsPMl0eEsLk4sKw5VF9e2jLgUpJ0sHjddp1uFqj+8X/FJtVdYkxRRYQb5pWZnNT1RMAktayjw41a3v4qtMciAQAACA+pVzijRQoi9irR6Z69cgMtU0eVthm4k2DH1x8kiYMLtC2Dau5YIqoG1SYLUnaX17jcCToiCF5Lq077FePzJR8K0U70twu/W7Z9lbXD++dG8NokottIddtyk9e1TM3TtO0Eb1iHxAARNGB44EKiPvLax2OBGjflOIi7Zg3J6xt3ksb9cTSrZp/0zkJkXQjSSWbDjBaG4jQH6+fouv+8J7OO6mP0txU7wWAZNSQWN3Y12eO1HT6YAAAAEJS/mqxtVbLPjqkL/x+ebvbLrhphk4dGBh56t8Xf+Wykfiq6wNTqBRS8SYhbDnml8TUYGjd5RMHauG60mbtC787Q2P6U8kgEl6fX195akWL63Iy+GwGkPgOBRNvinI5H0RiSnMZuYw0dmC+06F02Ki+iZEgBMSjX5dslSQt3XxQ9V6/Mvh+DABJx+PzN2v735Kt2nawUo9fM0npJF4CAACkbuLNP1fs1v/8a3WL6wpz0nXlGYOVk5Gm3Ey3vjC9WFnpXMxD92u4EM/URYnhWxMz9d2SGhnKaaMV4we1fMFp1i+WNRsdjo7x+KyWbDrY4jqqTwFIBtnBJMJhRTkORwJEpt6XGBfeb77oJP38lc2SpCeWbtVtl45xOCIgMX3uzKGhabO3HKgMDVgDACSPUwb01ODCbO05Gl6lfdG6MtV4fCTeAAAASErZM6LWkm4k6Wi1R2P699T3LjpJN547kqQbxEzDFFOk3SSGj4IVb/KyuNiPls391Zsttj/4qQkxjiR5ZGe49dFPLm1xXUOHPwAksoEFgalHa70+hyMBIlNd71VORnyfHx88XhdKupGkgflZDkYDJLZVu46FbpN0AwDJ64qJg5q1PXPjNPXMSncgGgAAgPiTsok3N547os31a/aWxygS4IQB+YELLX5L6k0iGFkQeAstyOELJsJZa/XK+jJ9+4JROm1w86o3t/x7dWhqOXTdLz4zUZvun6Wrpw51OhQA6LKn390lSfL6OB9EYqqq8yk3M74Hr/TukRHWJ7CvvFbPLN/lYERAYiqrqNWf39npdBgAgBj4wSUnN2vjOwsAAMAJKZt4c/ulY/TqzedqanFRi+v/+NYOzXxoSYyjAgJyMuK7oxoBeRmBKabOHd3H4UgQb/774T595akVuveF9fpwT/NEzgevnBD3I8Hj2cHjdWHLvXtkKjON900AyaEoN0OS9H/LtjscCRCZmnqfctLj+zzHGKM7Zp8S1nbbs2tU66HSFNAZDyzYEJoqewCVowAgpaS5jM4Z3dvpMAAAAOJGyibeGGM0oncP/eH6KVr03XOVn928YsWOw9V6bPFHDkSHVNVwMbnpRWXEp/dKAx3zu49WOxwJ4s2l4wbopgtG6ZQBLZdav+Vfq+Xx+WMcVfJ45OXNYcuf/927mnTfK3ptY5leXleqzWXHHYoMALruKzMCVTimDC90OBIgMrVen7LS47+rod7b/FzsjufWOBAJkLjuuXxs6Pb9V4xzMBIAQHf7cPexsOVXbz5Pfj8VbwAAABrE9zC0KKup9+mcn72mw1X1Hd7nxdX7dObwIp05olc3RgYENIxwbqkTGPEnLXg94dn39+rnn57obDCIK5Pue0WVdW1PJXXvC+t0/xXjYxRRcnn4qgn69/t7wtqOVNXrhj+uCC0vv+NC9e3JqFsAq1eOEgAAIABJREFUiefBRRslSWUVJGIjMdV6fMpIi//Em0de2RS23CcvUz+4uPkUCgBal+Z2KTfDrap6n4YU5TgdDgCgGxX3yg1bnvlwSej2wu/O0Jj+LQ8+AwAASBXx3xsWRS6XOl3+cHNZpT7z5DvdFBEQrmGKKS+jBRLCyYVMbYOWXXH6wHa3+cs7u2IQSXIyxmjaiOZTRZ53Uh9dMKavfjx3rPrkZToQGQB03fRgwv+UYireIDEdq/aoMCfD6TDateNQVdjyn66fqoEF2Q5FAySmp97eoar6QCXYxRsOOBsMAKBbPbdqT6vr+jPwCQAAILUq3mSmufXo1afr0atPb7au+Lb5re5XlJsRWv/xCQP0+DWTui1GpLaGdBu+rCSG7OA7aL+eXOBHuPuvGK/7rxivyjqvxt29qNXtim+br39+bbqmFDdPIkHr/H6rd7Ydadb+4JUT1I/3TwAJbuKQAr20tlSHKztepRNwytGqev1qyRZVe3zy+618fqsdh6t0xrD4Txy7ZdYYLVpXFloeWMA5BNBZ104bpgcXBqpH/eWdnfr6zJEORwQA6C7njO4Tun32qF76y5fOlDHGwYgAAADiS0ol3rRlx7w5+uHzazSqTw/5rFRR41Fpea3+vmK3jjSamurF1fv14ur5ynBLb0+uU68eXHBH9GS4A0WovH6mmkoEGW6js0b20p6jNU6HgjjVIzNN7935Mf1t4bL/z959x0lRn38A/3xn6/VeOO7gjg5HBwGVclQLlqixRhMTE40mNoz5YTSKxkJiiRrTjEYTU4xGozEgIMoBooB0pMNx9GtwvWyb7++Pvdu7vbpXdmdn9/N+vXjdfGdnZp+7Ze9mZ57v86Amqj9eXVfQZptH/vM1Vt4/U4Po9Oup5fu8xhMHxGPeqDSkssoNEYWA8joHAGDP6SqNIyFqq7LegR/9fRs+P1zmXrHik3a3+/um47hsbAbOHxy8LZtb3ya6+5/b8dZtUzWJhUivYqwmz/L8UWn4+6ZjcDhVTxVfIQQMAjAoAooicOX4/oi28FIkEZEexUY0//7ecPgsfpd/BD+aPUTDiIiIiIiCCz/ttvDkN8Z4livq7Bj/RPsXEQHA7gIq6h1MvKE+ZVDcl39dzLvRBSkljp2tw4j0GK1DoSDT4HDhhlc3YseJihZr2ybdAMA7Pzw/MEGFkNc/P+pZFgL4w82TkMpKN0QUIj7b767A4UlsIAoSUkp8srfY5/+bmQnB3bZpUEo0fnrxcE+1jvWHypC9eBk+vncGRvaL1Tg6Iv1584vCLrdZs78Ur31nsv+DISKiPpca433d5dmVB/DsygPISY7CZw/MYvUbIiIiCntMvGlHabUNm4+2bWHR2tzn12LjQ3ORHsebfdQ3pKfZFOmBBFBeZ0dilFnrUCjI2F1qq6Sbjo17fBW+engeUlitpUekBKY8/SkKly7UOhQioj4xsl8sDhbXwGTghWsKDpV1Dox7YpXP2987dyjunz/MjxH1nQa7q826PaermHhD1AOKAK6bnAWTQYHRICAgoEoJVbrb0KlS4t65+vjdQEREvjtaVotjZ+uQnRyldShEREREmmLiDYAT5+ow41drerTva+sL8Mhlo/o4IgpXsjHv5lydvfMNKSgoQmBKTiK2Hi/XOhQKMrFWkycRREqJVZ/m447VdR1uf95Tq3HoqUtgamw3R50rXLoQ2YuXea1zuFT+/IgoJHy44zQA4LHLczWOhMits6SbJZePwuXjMhBlMcJiVHQ303nGsBS8/Nlhz3jR/GH45qRMDSMi0p9JAxOw9Vg5VAk8ceVomI08JyciClVXT+iP97efarM+77l8HH7qEhh5XYaIiIjCGBNvgE6Tbp64MheDkqNhMgg4XE09qoFdO3di4oTxmJydGKgwKQzU2pwAgAiTQeNIyBena1TkHyhF//jgLqNPgXewuBoLfr2uW/u4VAm+9X136Zh0LN9d5BlvO1aOqYOSNIyIiKhvNTjaVuIg0sL984bh16sPtvvYko/2YslHez3jGUOT8dZtUwMVWq+d1+rz/AufHMQ9c4dqFA2RvpTVq7jm919g67HmiShN7bOJiCj0fH2qst2kGwB4+qoxTLohIiKisBf2iTdFlQ3trn/2m2Nx7eSsDvdznDTwBh/1uWhr2L8ldSXW7L6oOCiFpVTJm9KN2d67lixArNXkx2hC029unIjlu5d7xte/uhE7Hp2P+Ei2fiMifUuINKG8zoEYnhdSECittmHdoVKft9dbxRuXyla/RD3lUuGVdHPgyYuZeENEFMIu+83n7a6PsRpx2bh+AY6GiIiIqG8JIT4C0OGFIinlFV0dI+yv5qbHWfHBjy7Ef7adxF++POZZ31nSDZG/NN2s5wxnfYg2C2TEWbH+UBlUVULhRUZqNCQ1GoVLF0JKiZJqG/654nNYUnPQ4HDhpU8PeW07dskqLLtnOnIz4jSKVp/+uO6I13hcZhw2HD6LvOEpiLKE/ekNEenY8PQYbCw4h10nK3H9eVpHQ+Hu7c3HvW6st5QTq6B/aiKSos2YPyoNl43NCHB0vff1qUqv8fqfztYoEiL9SYtSsPbBPMx6Nh8AYDGyfCcRUSj73bcm4q6/bwPgbs9595whuku6JiIiIurEc709AO9MARifFY/qBodX4k324mWYOyIVL94wHjGsREAB0pS3ISVnXuqBlBLF1TYA7hZ0RK0JIZAWa8X4VCPK4yy4/187293uTEUDEqPM6BfHtmW+GpcZ7zXeebISP/rHNhgUgSNPX6pRVEREvbex4BwA4L1tJ/HUVWM0jobCUWm1Dec9tRqAuwJTR45WqThaVQYA+HDHaUzJTkRqrDUgMfaV3+d7J/Ja2feTqFucLapGvb/tJK6emKlhNERE5E/nt6j+/8InB/HCJwdRuHShhhERERER9R0p5dreHoONNxvFRZhw/7xhMLaoWPHp/hKMWbIK2YuXYd1B38trE/VUU5UGpt3ogxDC86Gz2ubUOBoKVnanitXHHFh/sKzDbb7/1y04/5nPUFZjC2Bk+nbhkOR21987d2iAIyEi8g/mYZNWmpJuAKC8zgHAnYCTnRTZ4T7fGJ+hy3aPK/YUeY03Hz2nUSRE+jQgsfn3ws4TFRpGQkRE/pYQ1fZc760vC/HGhqN4bX0BHvlgN+Y8n4/nVh6Azclq7kRERKRPQoihQoh/CyH2CiEKmv75si8r3gCot7twxSsbOt1mzYESzByWEqCIKFyZDcyF0yNFADFsbUMd+PfWk/jbPjuAU11um9TORQzq2NUT+uP97d4/17RYi0bREBH1jRirEdUNTliMPC+kwFt/qP0JJ+V1Drz2nfMwaWCCZ11+fj7y8vICFJl/JEWZcbbW7hkbDSxjSdQdJoOCtFgLkqIsePzK0VqHQ0REftTgaJtM8/MP97RZ98qaw8hMiMANUwYEIiwiIiKivvYGgMcA/BrAbADfhY/FbHg1F0CE2YBbL8hu97H/3T0dOx9bgEcvGxXYoCgsKY39ilSVU5z1ItpihMmgcFY6dei6yZn49igzHrpkBB69bBTmjUxrd7uhqdHsjd0NO05UtEm6ee/OC3D9ebywQ0T6NjglGgCw9JqxGkdC4WbN/hLc8vrmNutzM2Jx6wXZGJsZp0FU/vXt87O9xn9Ye6T9DYmoXZuPnkNxlQ1OVdU6FCIi8jOD0vk1q1nDUqAI4Llrx+G6yVkBioqIiIioz0VIKT8FIKSUx6SUSwD41F+TJRoaPXrZKFhMCv64trlS0K0XZGN0/9C7uEjBqynxxsUkDt2IMBuQGGWG0sWHTwpfRoOCOQNMGDYuAw/+eyc2HD7bZptLx6TjHrZI6pY73triNX75xgles/CJiPRqR2OrjsMlNRpHQuHiYHE1Pt5dhJWt2i41KSitxZHSGvxj83G8ffs0TBwQOn9vJ2d7fy/bj1fg2NlaDEyK0igiIn3ZfNT92WZAIt8zRESh7ssj3tezrCYF6bFWnJediHvmDkVWYsdtSYmIiIh0xCaEUAAcEkL8GO52FtG+7MjEm0ZfFZ7zSroBgDe/KESUxYBrJmYi0mxEhNmAKLMBRrYDIj9pYP9b3fl0XzGqGpxQVcnkG2pXSVUDbl1RC6z4rN3Hn792HIanxyDGagpwZPp2y7SBeG7VQc+YSTdEFGrYaooCZcGv13X6eH2LtgLvbzsZUok3q/cVt1nHczIi3xVX2QAAWYkRGkdCRET+NmNoste4waGi8GwdPr53JiLMBo2iIiIiIupz9wKIBHAPgF8AmAPgO77syMSbRh0l0/x2zRH8dk0H5aZXLMMjC0c2tplxlyhpuvEuAEAINN2GFwJIiDTjktHpbCVCHXK43OWZDfwvogtn61VUNTgBAMXVDegXx4uN4UpKiT+uK8AH20/BoAgYFQFFETAIAbur87LrD7y702tcuNSninVhQUqJRz/cA7NRQVK0GXan6vn32udHvbbtH8/3HxGFlg92nMYdswZrHQaFgdWLZuGD7afwyprD7T7+h5snYvrQFBgVofuEsN0nK1FQVoOyGjuq6h1Ye7DU6/Gtj8xDYpRZo+iI9OfuuUPw1sZjeGNDIU5X1MNiNMBsVGAxKo1fDS2W3V89lzuaro1JCVUCauNXKSVkyzHcY9lqO7R4vGm9lMDx4zasr9nrOYZstV3zsSTOy07E1RMzu2yfQkREaPeeRmKUGSZeyCYiIqIQIqX8CvCc+9wtpfS5LDkTbxpNGpjgdbPT6VLxz83HUWd3IS3Wijq7C2cq6/Gbz7wvRj65bF+3n2tKTiLMBgUxViMevzIXqTHWXsdPoeGrwnMAgEEpPlWsIo29tdcOABjTPw5mVsIKananijv/thWnKuqREmPB+Kx4qFLCpbovurrUlhdxpedirqpKr+1UKeFq2k5t3q7B4cL6Q2XdjksI94XfJqP7x/bhd61vR8tqMfu5/Dbr27vp98D8YQGKiojIv97aa/Ms//r6cRpGQuFkSGo0fnLRcPz1y0JPUvkvrszFTVMHhtTN6BdXH8SLqw95rYuxNF8SefnGCUiKtgQ6LCJdi7GYYDYqsDtVrNzTtoKUZgqPdr0NgHe2nMTk7ETkJLNVFhFRZw6XVGPeC+swaWACth4r96w/V2vHkIc/brP9vJFpeO07kwMZIhERke6MTgbWf5f3FjsS/ZI2zyuEGAPgrwASG8dlAL4jpfy6q32ZeNMBo0HBLednt1n/wILhkFLi0zX5uHD6TDhUFbU2J378j+1eJ50dOX9QEiQkjpTW4ExlAy4fl4FLx/Tzw3dAelTTeKF7VAZvvutBg0siNyMWH909XetQqAvLd5/Bp/tLAAD7i6qx/lCZuyqNEFAUuL8KAUXAU6lGNI4NHW3XtKy4xwMSI1FWY/PM4FSEABq3czodsJjNOFdr98R009QBePqqMRr8NPTB0apS0L4nLobFqLClGxGFtK+K3C19Niyew0peFHC7llyEK1/5HFEWY7ufhfWuZdLNuz88HxMHJIRUYhGRFo6U1sDudJ+3R5gM+MaEDM/nqKbPSwDgUiUcLhVOVTZ+1nLPHhQCbbZVWq1vuZ2A+9iicXvPes+ywNGCAgwZPNgzbt4egFdsQHZSFJNuiIh8MO8Fd2tSX+5/AMCukxX+DIeIiIjIn/4IYJGUcg0ACCHyALwK4IKudmTiTQ8I4W4jEmE2IAIGxFpNeO/O9n/WzsYLC66mygiqu1LCweJqXP/qxgBHTsHO7nKXvjCxeoouRJsEztpdWodBPhiYFOk1zv9JHowGAUOLJBvPsgIYGsdCuJebEmx6Kj8/H3l5eb38LsLLoFYXwP+84SiGpcUg0myA1WRApLm5bL3Z4P4aH8nWEESkb9EmYGJOCpNuSBNOl4qDxTW4/rwsrUPxuxVfF2Fkv1hEW3hJhKg3WiatLL93RlAkseTLE8ibOUjrMIiIQsreJy7CqEdXesZsk05EREQhLKop6QYApJT5QgifPuzyKlMnLv/N59h9qtJrXZTZAEUIOJxOGD5b4d1vGgBajJ2qbPe4LTHBglqSjT1n9p+pwtRBSRpHQ11JjlCwpbAW2YuX4a3bpmDG0BStQ6IOnCiv9xrntdPCyBcGxXv2pic5R2lbCaflYw319Yjemt9ivcC5WhuKq5pbimz/+XwkRDFxpEl1YwWwJs+uPNCt/XcvWYAYq6kvQyIi8jurUSD/QCmyFy/DzkcXIC6Sv8cocArP1qLe4UJuiFbf/OcPpuHGP7knv7z++VG8/vlRJEebkR5nxZGSWvSLs+LVb0/GkFS2/SXy1a1vbAYA/PKaMUGRdENERP4Rafa+jZS9eFmbbdb/dDayEiPbrCciIqL2fV0GDH1D7XpDCrQCIcTPAbzVOL4ZQIEvOzLxph12p4qXPj3YJukGAGobq1sMS1CQlBDvvtmqCEjprmhjVBTPjVkAWL2vBGMz4zA8LQZDUqNhNCgwNLYyiTQbMWNociC/NQpyl4zphyeX7cP6Q2VMvNGBywaZsKVMoKzGjlfXFTDxJohdMS4DAHCkpAaDUqJgd6qQEnDJpmpkTZXJ3FXJ2i67t1Fb7aNKd9l0998A92Oy5f6qhEOVWL+/HvXVNpiNCmwOFdU2Z5sY1xwowdUTMwP9owlaCVFmHHrqEuw+VYlT5fUoq7GhtNqG3+Uf6XLfyMYkWSIivbljrAX/t96dLOpQ+cGb/Gv78XJc9bsv2qw/WFyNZbvOIMpiQLTFiCiLETFWI9JirbqeOHL+4CTsefwiLN99BtuOV+DrU5XYd6YKZTXuVqAFZbWY98Ja7FqyALFM3iXyyVeF7pYj249XwGRQWrR/amwnBffXlhrnG0G6p69BQHiWZav5a+1NZ5OtN2rk/uwG7DvpQPFXxz2f1S4ZnY6kaEuPv0ciInJ74bpxWPTOznYfizIbWEmQiIiIQsX3ADwO4H24P5aub1zXJZ4NtePjr8/gt2s6v7F3sFwFys/6dLxdJyux66Q7iWdYWrSnLUZshAnnD05iKXny+PKI+//UmMw4jSMhX7x9wI6yGncCxYJRaRpHQ51xqRJnKuqRFG3G2Ro7VClRVe/Ay58d7tVxB6dEQTYm6Eg0fpVorHqmwumSOFtrb9y6bbJNk9/cOAGXNyYHkVuNzYnRj63sdJsvH5qDfnH8G0pEoaMp6SYzIQLJvElIfnbOc47i7U/rjwI42u5jz187DtdM0mei8GvrC/Dksn1dblfT4GTiDVE3vf3VCbz91Qmtw2j29W7P4l++KMQni2ZpGAwRkf6dqqjvMOkGcE9WnvCLT9qsZxVPIiKijo1OBtZ/V78TnPwt+qXAPp8QwgogRkpZCuCeFutTAdR3uGMLTLxpxxXjMhBlNqLG5oTVpCDGanJXN2i6uSoldu7ajdzc0Z51Ty3bh1MVnf/MR/aLxcDESNhdKsrr7Mg/UIqdJyqYeEMeZxr/D80enqpxJOQLm8s90+6rh+chJYY3x4LZza9twpcFviVLdseIfrHu2ZwAFAGIFjM7jYqA0SBQa3Pigx2ngcZtXr/1PCREmmFUBEb3Z5JdR5QWM2PTY6347bcmIMpiRJTZPes+PpJtuYgodK26f6bWIVAYmDsyDYVLF3rGTpeKWpsL1TYHamxO1NqcqLW5UGtz4pmP9+P4uTo88O5OPPPxfvz0ouHQ2yeWlkk3j10+CtMGJSG6sZpPlMWo62o+RFr5z10XeFXOijIbMGdkmufaWdOkhCZN1W/aK07p/lTltcLzRXqvgmjnAIbGSjslJcXI6JfeWHVH4I6Zg3r0vRERkZuUEhcu/axH+457YhX+fOtkzBnBCYtEREQU9F4GsALuSjctXQhgAYA7uzoAE2/aIYTAvC6qVyhF+5CXmw4AWLWnCAty07zakDRdYFA9X+FpR2UxKbA7WTqe2mq6dlRvd8Fs5IXfYFfncF/+i7HyV2mw80fSDQDUNraMktJ9Mbhl2XNVSjhcEnanioGxCiwRkbA5Vfzfv3eh3uHC1JxE/ObGiYgwG/wSm96dLG9OZi2qasA1v/+y0+37xVnx0d3TWSGCiEJCVb0TkWaeX1BgGQ0KjpRV4up22k+1VFZjw0/f24Vbc83IC0xofe7xj/bi+slZWHrNmHZv4BORb7Ydr/Aa19pd+GjnaQxKjsLbd0xDaow14DHl5+cjL29cwJ+XiChU9fZcqbqh4wrQRERE4UYIcTuA2wEgqx/vZQSZSVLK21uvlFL+RwjxpC8H4NXcXiqvteP2t7b2eH+n2n5vagpPBaW1AICyWhvLcOrAnrPuBLojpTXIzWDlkmDlz0TH/AOlvm9cVeM1XL2vBKcr6zE4JbqPowoN3W3xcKayAacr6pl4Q0Qh4WhZLdLjAn+zkih/f4nP2x4q1/dkkn9tOYGl14zROgwiXdvYwQSHgrJa7DxRifmj+LeMiEjv1F7cv9j52ALERfAaNxERURMp5asAXgWAibkxTBIILpGdPOZTtQwm3vRSQpQZ/7p9GnafqoRBETAo7lK2SmOJWwH3jdkVe4ra3d/MctbUQlOVmyjOcNaFWLNAld1d1YSC1+eHu5EcE0BbH5mHJCaJdOitjYVt1mUmROC9Oy+A2aDAZFTcXw2CM9WJKOSMzWRCL2lj0YLhWLRgOKSUsDlV2Bwq6h0uNDhcqLO7UFnvwIqvz+AvXx7DnrMu/OCvWxrbyEhcOzkLFzVWhQ1GmQkRXhX1ACDnoeXY/vP5SIhiC0ui7rK7JD7ZW+wZf/CjCzE4JQomg9LYdpfXu4iIQkFBWU3XG3WASTdEREQdK5I2LHUe1DoMalYihJgipdzccqUQ4jwAPt1o5N39PjB1UBKmDkrq8PEam7PDxJuKOru/wiIdUhvb1LgkEzn0oMHZ+HqxclVQm5rT8e9nLSlMFunUVRP647drjnitu3piJtJiOWuWiEKfw6XvSiKkf0IIWE0GWE0GxKH5hskzH+/DX748BgCosHnfdF+9rwSFSxcGPFZftU66acJzMqKeadkde8bQZIzPitcuGCIi8puBSVGIizChst7Rrf2uGJfhp4iIiIhCQ7qwYLFxmNZhBK0ncSbQT/kggHeEEG8CaGp3NBnAtwHc4MsBmHgTAN+fMQjfnzHIa90XR8pw0582ITs5SqOoKBilxlghAPSPj9A6FPLBwFgFyYkJmDQwQetQqBNRluY/dTEWI5KizThRXt8mYWr+qDRMH5KMm6YOgEEIKErf3YTJz89HXl5enx0vHLRswfWDGTl4eOEoDaMhIgqMtEiByUPSER/J6hsUnHYcr+jwsWsmZgYwku578KLheHblAc84mJOEiPRAEQJj+sdh96lKRJgMkFKyEiURUQgyGZQOk26m5iQiymLEj+cMwfjM+D69lkZEREQUSFLKzUKIKQB+BODWxtV7AEyVUvrUmz1sE29UVeJwaQ0iTAYYFAEJQEqJpkIjUrqrj3jWN64D3Nucqlaxv6gKUrrXS/i+ryqB/WeqA/49U/BzqhL8fKIfDhVwqpyRHuwaHC7P8lNXj4G5sfS5wSDcXxUBo6J42gUeKKqGIgQUxX0x2f2ebG4hqAiB9DirpzUc+cfqfc3nMcPTYzWMhIgocEwKUFLVALtT5d8ZCkr/uuN8vLPlBH76711e6xeO6Yfnrh2rUVRd232y0ivphoj6xrWTM7H7VCVW7S1GzkPLse7B2RiQFKl1WERE5EdvXhzFyWVEREQUkhoTbB7r6f5hm3izdMV+vLquoHcH2bC+13E4XWxRQ80OFlfDJYFztXYkRnGmc7ArrFJRWFWOD3ecwpXj+2sdDvngnn9u7/Nj3j5zEC7KTYciAIMiPMk57mVAUQSKalWcOFcHs9Gd9BNlMcJqMvR5LKFkdP/mZJufvLsT73x1AtFWI87V2tHgcGF4egyeuXoMIs1heypDRCHoZI3EyZpy/OTdnXj5xglah0NhorzWjlq70zOBxKXKxq/uJHNVdbfCdanuf1kJkVg4ph+W7W4u+bts9xkse6h5PCI9xrN81+whmrcaGJAUidyMWOw5XeVZt3JPEawmA5KjzcjNiNMwOiJ9qndKvLv7pNe6NQdK8J0LsrUJiIiI/GLXSe+Kh7euqAVWLGuz3YvXj8c3JvD6KBEREYWvsL1bdcu0gfj8UBnK6+yod7igqrKxco37YmOd3dXlMfqCxcSZrNQsLsIEANh3pgoXDknWOBry1b1v70B2UhTGsad9ULKaDDj01CV4/KM9+NvG431+/FfXFfiWyLl+jddw6yPzkBRt6fN4QkW/OO+We5sLz3mN9xdV41tTB2JKTmIgwyIiCojlu88w8YYC4khpDeY+v7bPj7u/qLnC6z3/3K554k1chAl/uHkSZvyq+Xzsjre2epbf/eH5OC+b5xRE3XG8SsXuU5Ve6y4d00+jaIiIyF9W7inyabv7/rUDF49O50QzIiIiClthm3iTlRiJ5ffO6PDxpR/vxx/WHvF7HGcqG/z+HKQfWQnuG81jMznjUg8GxCg4Xq3ivnlDMaY/X7NgZlQEVA0LjCVHCJjNFjhUCYdLxSWj0z2JdtS+zUe9E23unzcMGw6X4eLR6Zg6KBEJkWZkxEd0sDcRkb49vHCk1iFQmMhKiMS1kzLx+eEyKEJACEC0an3bsqVyk1MV9V7b/O/u6QCa9xUQkJAQEBgYJG1nZDvnggZF4PvTczCeCfRE3TY80YB75gzBy58d9qxT23ujERGRrj0wfzhsDhWvfX60y21H/HwFAOAHM3Lw8MJR/g6NiIiIKKiEbeJNVxZfMgKLLxnR4eP5+fnd7mUqpYQqAZcqseXYOdz0p02orHf0MlIKJXaXhFEBYqy8Ia8Xc0ek4r55w7QOg7qQ89DyPjvWxofmIj7SBCEAgxAQjW2lOtOTvxnh7tEPv/Ysr140C0NSo3HvvKEaRkREFDg3ThmgdQgUJsxGBc9eO65H++bn52NVeRJW7SnCaB0koW855p3UW7h0oUaREIWQnoVNAAAgAElEQVSOu2Z7J96kxVo1jIaIiPxBUQQOl9Z0ax+nlrPfiIiIiDTCxJsAEkLAINyz6pKi3O1FkqLMGkdFweTEuTo4VaCy3sFqGDpwqkbF8f0lWLmnCBflpmsdDnVAbfVhPyPOCoNBQFXbztb2xbRnPu1ZII39r3/1zbG4bnJWz44RRu6bNxQ//Ns2AMC8F9ZiTP84fNQ4m56IKNTV2Jws0U660HnqcXBZkJsOYKdnnL3YfW6WmRCBtQ/O7jKRmoi8lTeoGPv4Kq919XYXIsz8+0VEFEq2HS9H/oFSzzg9UqCorvPEmjc2FOKNDYWItRqx/dEFPM8iIiKisMDEG41IMOub2rK7VK1DoG5wNb6Nq1i5KqgpirsijasxAee0xi3+DhRVa/r8enHhkGSvcXocZ88SUfgoqbIhOdqidRhEXdLTp9poS/uXP+xOfgYj6okIo8D5g5Kw9mDzzdidJysQazVBUQBFCCjCPQlNoGnsbmmnKO7HPOPGxzzbixb7Q8BiVKDwpi0RkSZSY7w/l3SVdNNSVYMTW4+VY0pOYl+HRURERBR0mHjTgfwDJbj1ja8636ixekFvVDfwhj01G5IajU/3FSPWyremHgyJV2COiMa1rF4S1BocLk/SjZZeumE8rhzfX+swdKOizvvv49wRqRpFQkQUeP3jI7QOgcgnUgL6qnvT7LbpOVg0fxiiOkjIIaLOWY0Cd8wa5JV4c8OrG/3yXBMHxOP9uy70y7GJiKhzmQmRvdr/uj9+6VleOLYfXrp+PIwGpbdhEREREQUdnuF0QAboHm2EmRf5qNm2Y+VQJVBrd2kdCvngcIWKvWeqUMUEuqBmNRnwv7un4zc3TsAfbp6IG6cM0CSOTUfPafK8epWV6H1h50R5nUaREBEF3n93ndY6BCIfSQh95t3g9c+P4rH/7tE6DCJdu+lPmwLyPN+9MCcgz0NERO1bfs8M/N/FI3p9nGW7zqCB1QaJiIgoRDHrowOzR6SicOnCDh//76o1uOez3t8ErLU5e30MCh0TBybgq8JzHZZBp+CSHiVgtkQg1mrSOhTqwuj+cRjdPw4AMCglGv/eegIOl38yLC/KTfOUTBcQgABkdRmWXJ7rl+cLVQ+9v8trfP+8YRpFQkQUeBMHxGsdApFPVBXQS/eX1snyEwfE48GLhmsUDVFoMBmE53PV8LQYrLx/psYRERGRP4zKiMWojFjsO1OF/+7s3iSBrx6eh5QYttElIiKi0Me7+z0UaxZ447vnYfvxih7tf/xsLT7YcRppsTzppGZN16yllBB6nToaRiwGgSGp0VqHQV2obnBgzJJVANw3WOodaq+Tbl65aQKyk6IAAAZFQBECBsVdpcViNLTZPj8/H2Yji8x1R25GHIATnjHLEBNROBmZHqt1CEQ+kZDuRGMd2FLoXX1wyRW5SIu1ahQNUWi4feYg/HbNEQDAgeJqjaMhIiJ/aHC4cOnL61FQWtuj/W1OVnYnIiKi8MDEm16YPTwVs4en9mjfdQdL8cGO07Ca2t6gpfAVZTFClYDNqfL/hg7U2CWiWJ0o6FXWN89u3tZOsmS0xQirSYHJoMBsVGBu+tpi2WJUoLRIhvtwR/uze9q2KZSIizBjXmKA+heGkNYV4Y6drcXAxmQnIqJQZRDu80GXlFB0ksxA4U1K6KbV1JwRaV7jf24+gbGZrC5F1BtV9c3n7KwgRUQUmmxOtd2km4RIE0wGBSXVNoxIj0FStBkWowERJgO+ff5ATB2UpEG0RERERNrhHWONNJW5PlPRoHEkFEzq7e4ZAE6VN+n1wCWBHScqWKEoyGUmRHb6eI3NiRqbf2N4D4BpzXKoElClxA9nDe6T3tihrHU7iJV7inD7zMEaRUNEFBguCVQ1OLH7VCUmDkjQOhyiLkkALp1+dvnn5uN4+6vjWPuT2RiQ1Pn5IhG1762NxzzLt16QrV0gRETkN8YO+oqW1zVft9lf5F31bNnuMzj6zKW8XkpERERhhX0bNDI4xd2eJtLMqibUrPBsz0p2kjaq7RJFlQ2wOVWtQ6EuzBqWonUIcLgkXKqElMDv849oHU7Qaz0r/QczBmkUCRFR4CVHsR0t6cOp8nqUVPs5g9mPpASOlNZoHQaRLslW5T6/9+ZXbZLniYhI/6IsRvzs0u5PHjtVUe+HaIiIiIiCFyveEAWRzIRIGIW79Q0Fv0FxCpIS49kWLMidrbFh7cFSz/jPt06GyeBuHeX+ByiK+6touU4IiMavTetEi8cMSuePK0JAKO7lDevXY9asmZ79OpgsRC3ERTT/HhzTP46zpIgoLGREC4zITGH1DdKNLwvOah1Cj/3s0hGspkfUC0IIWE0KGhzuiSibjp7DqfJ6xPYzaRwZERH1taeX7/csj0024DuzR3u1aYcABNx/GwSAjPiILitQExEREYUa3t3XGO8jUktFlfVwSkBVJRTemQ96hypUHKo4hxqbk8lSQexcrd2z/N0Ls7HuYBkcLhUOl4q4CBMWzR+OCD9XH7MYBRO0uun6P270LO8+VYnSahtSYlgBgohCm1EwOZPIn66a0B//2X4KgPsGkt2p4sdzhmocFZF+zR2ZhmW7znjGdXanhtEQEVEgJEYIbD56DpkJEbgzbzCMBjZVICIiIv+aFANsmdazfcUnfRtLZ3inWCOtKvISAXC3ohEAnKqEmXdddKPe7mLiTRAbmhbjWX5jQ2GbxwcmReHmaQMDGBH54jsXZOOFTw56xk6VLd2IKPQ5VQmVnxOI/OaTvcVe46ZKHUTUM+tbVBYFgAgTPxcTEYW6/BNO4MQJAEBu/9g2rcKJiIiIwhU/EWuOyRXULCPeCpMBMBs5U0APkqwCs0ZlsApHkDtT2dxT+qapAzA4JRpmg4DRoCAh0oSLctM1jI46Mjk7wbN8yeh09IuL0DAaIqLAcEkgxsqPaKQf52Un4KvCcq3D8FmNrbkax4QB8fjJRcM1jIZI/5ZeMxZ3/X2bZ/zhzlMYlRGrYURERORvN480I3fkcKTHWTF7eKrW4RAREREFDV7V1YgEp7JSWw6XhJG5WLpR55SItbJ/fbBLjDJ7ln++cJTf20pR3/jZ+7s9yw8vHKlhJERERNSRrMRIHCmt1ToMnyVGmT1tSG2sdkPUaxfnpuOnFw/Hr1YcAAD8cW0BFl88AoJ91YmIQta8gSbkTRmgdRhEREREQYeJN372j03H8cT/9iDKbITJoMCgCCgKcOJcfdc7U9iptTlR5wSklLxQpQNOFfhsfwkWXzICVhOTOYLV16eqPMsPvb8LJoMCo0FACAGDEFAEoCgCihAwKAJCoHG9aFwPiBbVySQkpERz+mRj70DZYuiSEqoq4VIl6h0unD5tw4SpDsRFMFHLVwOSolB4tg4AMP2XawAA80am4ZWbJvD9RkQhy6ECH+44jUcvG4WkaFbUo+BnEEJXNVxfvWUSvvmHLwEAe89UIXvxMlw4JAl/uHkSYphQT9RtP/n3Try/7ZTXukMlNRjWot0vERHp29kam9d4UX4dzj+1DdMGJ2Fr4Tmcq3PA4VQhBHD9eVnIG56KCJOBFd2JiIgo7DDxxs+eXLYXDQ4VDQ57u4+XVjcEOCIKZvuK3AkC1TYnK6nogEMFjp+rw9GyWozsx3LawapfnNWz/MGO05rF8dr6AjywgO0MfPXX701B9uJlXutW7ytGVYODiTdEFLLONbjTOPedqcb0oUy8IX3Q000Vk6FtrBsOn8Wxs3UY3T9Og4iI9G1qTmKbxJulH+/Hn289T6OIiIior0WavW8hnWuQWLb7DJbtPtNm2y+OnG33GAVPXwpF0VO6NhEREVH3MfHGz/Y8fhGqGpyoqnegweGCzanC5nThSEktfvreLs5kJS/zRqbh61NViOBNZV1IjRRIjI1m0k2Qy4iP6LNjjcuKx6yhyUDj7O6mwlRNc72bxooADIoCgwJYTQacOnoY984d2mdxhIO9p6u8xjOGJiMt1gq7k20hiCh0pUUKuBQzpg9N1joUIp84VQmjQT83UbISI73G6386G2mxVl0lDxEFk+vPG4DTFQ146dNDnnW/uXGChhEREVFf623L9tH9ed2UiIiIwgMTb/xMCIG4CFOb9iLRFlYzobYaHO4byg6X2u5sTAouJXUSda56qKrkrI0Qd+OULDxz9dge759vK4SR7+lu+cfmY17j9YfKALhbWvzymz1/LYiIgllxnQRgg83pgsXIRGwKfudq7bpqo/zAOzu8xs+vOoAXb2CSAFFPVdY78MEO74o3uY+txBNX5uLb52drExQREWmqcOlCrUNoY8uxctzy+iZUVTTgnye2wGhQYFIEjAYFl45Jx5wRaVqHSERERCGAiTdEQcTSONOSFW/0ITNaYHBGApNugtzqvcWe5eRoC26eNgBAc5UaRbgr1QghIASgtKhmowgBgyJww3kDtAg9rP1t43HP8qSBCfjOBdkwKgJzRqRqGBURkX+lRAiMzEpm0g3pxtqDpVqH0C2t433qqjEaRUIUGoyKwLGzdW3Wv7/tFBNviIhCxKYC7/ZRE1MNmDN+sOc6mkDT9TR3Nfdgc83ETKzaW4TqBicqbBINZXVwqCqcLomiygacrqhn4g0RERH1iS4Tb4QQtwO4HQDS0tKQn5/frSeoqanp9j560Nvv62S1u7LJnj17EHn2QJ/E1NlrpcXroNVrr4f/cx29VieO2wEAn63JhyGEkzn08Bo16ex95VJV1FSe0/R7CYafZTDEAHT8Wu0tdXq2+b+JClKMpzs/kGz11QVs+uJYR1v7JFh+Rn2ppqamx/t29Fq1/DldN8yEdw46AABXZzYgtvwgAGDjhr75m9mRYHitgiGGloLt/KI7gj0+oG9jbP1a6eH7745Q+n46el8JqGio0ubcQsufbzC/ti1fq5SUlKCIM1h+Xu5zAfdnlmCIx5drF6r0Hm/csL5bn7vC+X3iz79Xejq3AII/xkC+VuvWr/eMJ6UZMH+gCQNjFUQYHWH7XmlPIGLq6ndgMP5cWgr2+AD+HmwS7PEBgXuteksPP0sAyD/h8Bp/b5gT0Yp3tTNI97/je07gOLTR0Ws1FMDQEe5tampciI5uamEu8PQmoLy83K+vA++RtKXn34FA8MfIv1fNgj1GvlbNGCOFii4Tb6SUrwJ4FQAmT54s8/LyuvUE+fn56O4+etDb7+tAUTWwYR1yc3ORN6Zfn8TU2Wulxeug1Wuvh/9zHb1We+Rh4NABTJ85M6RnOuvhNWrS2fuq9rPlyOqXhrw87crTB8PPMhhiADp+rcTBUmDrZgDAlQvyYDYGvuVTsPyM+lJvTjI7eq1a/pw+Kd8NNF6u+dblc3oRafcEw2sVDDG0FGznF90R7PEBfRtj69cqOjo66L//7tDD6+mrjt5Xlg0fIy4xGXl5kwMek5Y/32B+bVu+VsOHD+/252F/CJafl/tcoBYAMGvWLAih7cQBX65dPKwU4Knl+zzjvLy8biXehPP7xJ9/r/R0bgEEf4yBfK2M/UcD2AQAmDR8IH546cg+ed7eCMbXJxAxdfU7MBh/Li0Fe3wAfw82Cfb4gMC9Vr2lh58lAKQXVeHNPc2JlsH6OdOX16r1z/x3+7+EQRHIy5vmt7h4j6QtPf8OBII/Rv69ahbsMfK1asYYKVSw1RRREDE2XvR1tZ6KSUHJoUpNkjioew4VV3uWhz3ysddjZoOCnY8tQIQ5dBPd9Cra0nyKUlTZgPQ4q4bREBEFRqVNRb3dpXUYRCFr+ddnvMb/2X4K35yUqVE0RPr3903NlUGzEiI0jISIiPzlULF3xeNbV9Tiz+nFbM9ERERE1ArvGBMFEQMTb3RFEYDVxISNYHfb9JwOH5Pgey1Y/fXL5ov4DQ7ehCaicCEQZeG5BZG/3DlrsNc4IdKkUSREoeHpq8Z4ln/+4R58tr9Yw2iIiMgfLh+XoXUIRERERLrAijdEQYSJN/piUgRqbE6tw6AutGx7cPipS2A0MOdUDx68aDie+N9eAMDApEiNoyEiCowII0K63SiFLq3bTPkq0ux9CeStjccwdyRnaxP11NqDpV7jzASetxMRhbo3L45CHqvdEBEREbXBxJs+tvVYOa75/Rc+b+9wqX6MhvSmst4BAKhucCI+0qxxNNQVm0vik73FqLM721zEp+BR2yI5atgjH8OoKDAoAkZFQFEEFAEoQkAIAYPiXnaP3clwihCot7tQVNXQo+dfcvko9GcyXbeNyoj1LOc8tNyz/JfvTcGsYSlahERE5Hc1Don/7jyNm6cNxJScRK3DIQo504cme43zD5Ti4hfXYcV9MzWKiEjfBqVEeY0X/HodVt43E8PTYzSKiIiI/O3WFbXAimXIG56CnOQoGBUBo0GBUREwKAImg4JamxMuVcLuUuFwqYiyGPG9C3OQFss24kRERE2+LgOGvsE8gVDCO8V9LNbavR/p6Yqe3cil0FRSbQMAxEaw5Lke1DuBCCGh6GSGb7iKshjxzh3n4/PDZZBSwqlKuFQJh0uFlIAqJVQp4VIB2bisSkBV3csf7Djdq+df8tFezMw0Yv6cPvqGwsS0QUntrlf4diOiEFbrzsHucbInEXVtRHoM9hdVe8bpcbwBRNRT72452WbdsysP4LXvTNYgGiIi8pcvFs/B21+dwGvrC1Bnd7cDzz9QivwDpV3s2eyPawuw7J7pGNUvVjfVEomIiPxpdDKw/rvs0NCR6Je0jqD7mHjTx4amxaBw6ULPuLzWjgm/+KTD7VXJKgjULDHSDIHuJ3CRNjKjBUZkJcNqYkuIYDclJ7HdygFSSjz0/m68/dUJvz7/pTlMpusu2erv4//uno7R/eM0ioaIKDDMBsDuAi4Y3H7yIRH1XsukGwD4yYLhGkVCpH+3nD8Qb2085hk/d+04zB7O6pRERKEmIz4Ci+YPw6L5w7D6szV4YbcRe89Udfs4C1/+HPfMGYJFPP8iIiKiEMS7+36WEGX2SsRpcqCoGhe9uA45yVHt7EXhSkJCCDDrXyeEEHCpLAOnFyVVDbj+1Y04Wlbrl+PfPG0A6u0qHrtiFGKt3ok2+fn5fnnOUHa60rvaA5NuiCgcNE4eRXK0RdtAiHw0c1gK1h30faZzMHjrtim45fXNnnFpjU3DaIj0LT7S5PV74Cfv7vR6fPk9M7xayBIRkX69ueEolny0t8f7Tx6YACGAb07K6sOoiIiIiIIHE2+IgojdqcLIqmK60eCUaHAw8UYPpJR4ftXBXiXd3DY9B1eOz4CAgIS7GouAO0luVEYsDOyB1KfS2febiMJQhBGYnJOsdRhEPtNb0g0AFLVK7p09PFWjSIj07+5/bMemo+c6fNxo4GckIqJQ0d2kmwcvGo7xWfEwGRRMHpgAhdfNiIiIKMQx8YYoiLhUgHk3+mFXgazECK3DIB/kPLS818c4V2vH2Mz4PoiGfPHZ/hLPcmYC32dEFB4anFpHQBT6GhwurUMgChmPX5mLi19c77VOCKDg6UtZyZeIKIT8csX+bu+TEm3BhUM4qYCIiIjCBxNviIKIw8WKN3pic0pEW0xdb0iacqnSs/zj2UNwzaRMRJoNMCoCRkWBwSBgEAIGRcCoCM7ACRIrvi7yLE8YkIBjZ2uRGGVGtMXIi/hEFLLSogRiI3huQfrgbHGOpScj+7HtDVFfqaxzeI1/c+MELBzTj+frREQh5vf5RzzLz8+KwKwZF8KkKDAZ3dfWeD2NiIiIiIk3XqSUOFtrx+L3dmH1vpKud1ixrNfPWW/nbDtq5pISdhVQVckPKzrQ4ALWHdJfef1wU15n9yy/suYwXllzGABgNiiwu3rXKuzCIUn4+/en9eoY1L4nrszFe9tOAgA+2nkaH+087XksI86KLx6aq1VoRER+U1QrsWzXGdw5qxKj+8dpHQ6RF5cqUWd3Ysav1qCi1c12PZk4IMFrnL14GaYNSsTSq8ciNsKEGKsRJgNnQxD5IiXG4jWOjTDxWgYRUYh7YG09sHa117rvXpiNxy7P1SgiIiIiffq6DBj6Ru/uUVFwCevEG1WV2FdUBYMi8Mzy/VirQX/6fnHWgD8nBa9ByVGwu4B9RVXIzeDNlmAXZQIOl9Tguj98ib/eNgVWk0HrkKgdydEW/Ov2aThYXA2HS6LB6YLNocLmVPGHtUe6PkAnNhw+i+zFHSdhxkea8N8fTUetQ6Le7oJBETAZBGeA+iDKYsT2n89H4dlanKu147a/bPE8drqyAYv+tQMvXD9ewwiJiPzngXd2YuX9M7UOg8LEZ/uL8b03t3S9YSuZ0QLpSfFYcoW+brIoisDeJy7CL/63D//cfBwAsLHgHPKey293+2X3TOdnM6J2HKlw4dbn13rGA5MiMTUnUcOIiIjIX9Y9OBv/3nYSL396qN3H39hQiDc2FHqtW3nfTAxPjwlAdERERES9J4S4Vkr5rhAiR0p5tCfHCOvEm8c/2oO/fHnMp22/e2E2cjPiYFAARQhs3LEXWdk5AAAB9w1UCQnZotr2uMx4TBwY73m86T6rlO5tFSF4o568zB2ZhieX7cPXpyp5cVcHlpwfgV9sdmBz4TmU1diQmRCpdUjUgamDkjB1UFKb9bOGpeAfm4/DINw3YSCB97ef6rPnrahzYOaza9yDT1d41hcuXdhnzxHKEqLMSIgyAwB2LVmAsUtWeR57f/sp3DtvKAYmRWkVHhFRn5uVacTak04cKK7WOhQKEyXVDT1KugGAkzUSJ2vKsWpvse4qNEWajXjm6jFYcsUoHC6pwanyelQ3OFHV4MB7207i61NVnm23HivnZzOidqRHeVeGmpaTxGtcREQhakBSJBbNH4bbZw7C6MdW+rTP/qIqJt4QERF1IjnJhttuOax1GEHryZcC/pQPAXgXwHsAJvbkAGGdeONrR/r1P52NrETvG+pxFYeQlzek74OisBYfYQIA1NjYgkwPUiIVXDw6He9sOYlavma6dP7gJJw/uDkhx+FSseZACcr92D7hexfm+O3YoSzWasKPZg/Gb9c0Vym6/o8bsfFnbDlFRKFjRmPiDVGgTHnq0x7vOynNgOHZ/fH9Gfo9t7EYDcjNiPNKrBmaGoObX9/kGT/64R688MlBbGSbSyIvUSbvKp47T1ZoFAkREQVKtMW320m3XpCNK8Zl+DkaIiIifSs7a8HrbzHXoGNnAv2EZ4UQqwDkCCH+2/pBKeUVXR0grBNv/rHpuE/bvbXxGH526Ug/R0MEOFV3OpjJwDY0etFUjSO1VW970ieTQcH2Rxd4xi5VQpXuf1LC6+uXR87i9re2duv4t03PwUOXjOjrsMNGy6QbAPj43hkaRUJE5B9mpettiPrSx/fOwCUvre/RvluLXdhafBzfn56DWKupjyPTzvShyfjq4Xk476nVnnUVdQ68saEQvCpA5O1P356MH/zVXTXrxRvYBpaIKNy1N4GZiIiI2seKN53ToOLNQrgr3bwF4PmeHCCsE29euWkifvi3rm+avrquAK+uK/CMn/zGaGT6MzAKWw0Od9UUp8vXekykta2F5QAAI5OlQs6n+4px21961nqhyepFszAkNRr5+fnIy8vrm8DCWOuKN6rk70oiCi1vfG3XOgQKMyP7xeLwU5fgk73FuPPv23p0jKLKBgxKie7jyLSVEmPBoJQoFJTWetaVVtswkt0SiLz0i7N6ls/W8G8YEVG4++/O0/jRbM7cJyIiIv2RUtoBbBRCXCClLO3JMcJ6TuXFo9NRuHQhHlnYvXlrf95w1E8RUbhr6oeuMIdDN5oSblwqEwBCzZjMOAxJje7R+zHKbMAD84dhUHJU3wcWxrISvGdNfbjjtEaREBH5x9EqFQAwJDW0khgouBkNSpf/5xQBvHTDeBQuXej59+bFUShcuhAXDEkOUKSBZTEavMa8DkDU1tGy5uS0C0P0dwEREXm7aYS5w8eeXXkAdqcawGiIiIiI+tw7QojPWv/zZcewrnjT5PszBuH7MwYBAK585XPsPFnZ6fYFpbW4dQWAFcvw51snY86ItABESeGg1uYEAMSEUKn2UFde60B8pAnxkR1/6CT9qbE58asV7osFV47vj1nDUnDfv3b4vP/ckWm4e+5QP0YYfpwuFYvf3+21bkQ6p50TUWiZnWXEmhNOHC6p0ToUCjND02KwetEsFFc1oMbmhMWooLLegXvfdp//FDyzUOMIA+/je2cge/Eyz3hqTiIAm3YBEQWhGUOZbENEFE5OV9TjWFXniTW/yz+M++YNC1BERERERH3uJy2WrQCuAeD0ZUcm3gDYeqwc1/z+ix7t+703t2DrI/OQFG3p46goHNld7g8uD7y7E4NTozE+K17jiKgrpyvrUd3gxAurDmDRguFah0N95Pf5h/HvrScBAMfP1eE/2091a///7jyN/+5sVY1lxbL2N250/7xhuHcek3Va23miAlf+dkOb9ddNzsTUQUkaRERE5D/VdlbQo+57+D+78fdNx/36HC0TUPrFWbF60Sy/Pl+wuH5yFv615QQAYNPRc7hzOKsZEjX5qsiJW5/4ROswiIgoAApKazDn+bWdbnPtpEykxlpwx8zBAYqKiIhI38rOWvD6W2zR2LEzmjyrlHJrq1UbhBCbfdmXiTcAHK7elT+c9ORqfGN8Bq47LwtSAqqUcKkSUrrbz6THWTG6f1wfRUuhLC6iudKNQbDflB5YjAqqAZytZT/7UHLVhEz8ds2RgD5nU9sy8tbUgq+1rIRIGNiXj4hCzJZil9YhkA4NSIzseqM+dKayAbmPrYTFADxoKPBUjw1FMVbvSyZ1DibHETVxsJMIEVHYcKldnwO92ziB7ZZp2Ygwt38th4iIiJolJ9lw2y2HtQ4jaD35kjbPK4RIbDFUAEwC4FOiBxNvAEwblIRP7p+J+b9e1+NjfLDjND7YcbrDx5ffMwOjMmJ7fHwKD9UNDgDAL67MxZhMJmvpwZDUaGTEu/DUVWO0DoV6yKVKvLquAAeKqs/YSDwAACAASURBVDzrOvt97ovP/282MhOab4Ll5+cjLy+vV8cMV8PTY1C41N3eYuySlahqcFf0e/6Tg3j+k4N4ZOHIkL7hR0RE1JU7Zg3GHbN6P7PY4VJx39s7sGy3bzOKbC7gyWX78M1JmSHbdvWRy0Zh3aFSHCx2t397+4Adl87XOCiiIHFBhhG3XzEDk59cDQBYuacIsVYTIswGjOkfxyR5IqIQMjTNfW3mcEkNrvntOlTaOk7EmfbMp9j0s7lIi7UGMEIiIiL9YcWbrgS24o0Q4k0p5a0AtgKQAATcLaaOArjNl2Mw8QaAzenqVdJNVxbNH4YR6TF+Oz6FDovRPRvAl1kEFByiLSaUVNu0DoN6YefJCvxyxf4+PeaT/9uHJ67MhcmgICEqNG9EaWH5vTMw/ZdrvNaNSGdSKxGFnnRepCYNNDhcPifdNFEEQvrmupTSk3QDAOtO+tTSmyhstKxOecdbzdW4n75qDG6aOkCLkIiIyE/+tK4ATy3f59O2sVZT1xsRERGFOVa86ZwGFW/GAoCUMqenB2DiDQCBvrtQOCUn0Z0DBUBC4rrJWbh2clafHZ9CW7TF/ZZk3o1+WE0K6mwuqKqEEsI3HULZxAEJ+NttU3Hz65v67Jgr9hRhxZ4iAMCfvj0ZvNzQN/rHR7RZd/PrmzwVcYiIQkVRVYPWIVAYqG5wYPnuM/jVigMwGgSKq3xLJh+YFInPHsjD+nVrWdGPKMytP1jqNZ4wIB4j0mNx+bh+GkVERET+Ehvh262kvOEpbDVFRETkA1a86UpgK94AiBRCTADaTxyRUm7r6gBMvAFgNiqYNSwFa1tdMOjMnAFGpPfLgKpKzByWgkvH8KIC9Z7JqABwl3knfUiNsaKoqgFbjpW7E+9Il6YPTfYkb0gp8caGQuwvqoKUzfXkmnpVd8ekgQmYPDABO0v6Nt5wJYRAZkIETpbXe9ZlJ0Uy8Y2IQsb1w8341wG71mFQmBizZFWX24zLjMNds4dASkCVEpMHJiA1jCoyCeF9fjEhlTeRiFrKSmxur7v+p7O9xkREFFqunZSFijoHnvm486rR+QdKseLrM7h4NO+XEBERka70B/A82k+8kQDmdHUAJt40unpi/24l3kxMNeDHV43xY0QUjpruGzc4mHijF9+aNgB/3nAUO09UMPEmRAgh8L3pbSvJPXvtOK9xg8OFET9f0emxth4rZ6upPnbjlAF4duUBz7jwbB1q7E6WMSaikDAkXtE6BAoTD767s9PHX7phPK4c3z9A0QSvGpt3aynm+RJ5a1mRkkk3REShTVEE7pg1GAMcx3Hn6rpOt121t5iJN0RERKQ3h6WUXSbXdCbsE28+3VeMH/9jO+odrm7t98FhB37sp5gofDW1PeMFXf04UlIDABB8zcLOj/+x3aftqhocfo4kvFw7OdMr8QZg73AiCh0JVp5QUGB0Vcnv3rd34N63d3jGL90wHsnRFlgaK3QaFIFjVS44XCpMhtBNGIs0eVe4mZIe9pdQiLy0bI34z83HceOUARpGQ0RE/nT8bB1mPrumy+3ev+sCTByQEICIiIiIiIJL2F41crhUXPnKBuw9U9XpduOy4pEUZYZTlXCpKlQVsJoUXJJWE6BIKZwUlLn/Xw1KidY4EvLVS58eQlqsBTdPG6h1KORnpdU2nPfU6m7v53RJP0QTvqwmtnggotDFbqMUKP+7ezrWHiyFw6XC7lRhc6o4UlqD/APtV4FtmYTT0mNffIwvH5qDfnER7T6ud4dKvD/3/2mXDT/8hgNxEUz6JQKAkf1i8dIN43Hv2zvw0Pu7cVFuOhJZ8ZOIKCR1Nelw0fxhuGfu0MAEQ0RERNT3/q+3BwjbxJsXVx/sMunmqatG41tT27+Znp+f74eoKNwZFfdsUZfkjXq9EAIYlBzNZIAwcLC42udtC56+FApLV/lFrNWE5ffMwKUvr/esy168DC/fOAFXjMvQMDIiot47UN69KpxEPTW6fxxG94/rdJuC0hrMeX5tl8cK5Y8uGfFWr7FTAr9dcxg/u3SkRhERBZ8vj5z1LB8tq0FiFFswExGFoqzESKy4bwYufnF9u4+/8MlBvPDJQfSPj8CGxb3q0kBEREQUcFLKVb09RujWhO5CRnzXM/Ie/s/XeHXdEew6WRGAiIgAc2PpdienO+uGyaCgvM6udRjkZ2v2l+Bbr23yadsJA+LZesxPVFVizYESHCmtwbhM75uFD723S6OoiIj6TpLVfS6YmRCa1UNIX6ItXc/T2fLIPJ8+W+tV6/aWAPDAgmEaREIUnFyqxNtfnfCMf/PZ4W5NWCAiIv04XFLTYdJNSwvH9gtANERERETBJ2wr3hwpqfVpu6eX7/cab354LoyKghp7CE/rI82UNPZHT4q2aBwJ+aLGLrH9eAXuyhusdSjUC0fLarFyTxEMQkBRBAwCEEJ4kmf+t/MMNhee8+lY35+eg0cuG+XHaMNTabUN246X4763d6De0bYaxIvXj8clY9I1iIyIqG+dqHYnX88YmqJxJBTuSqobsOidnV1uN/lJdxvOu+cMwej+cXC4VNgcKhaO7afripC7T1Zi58kK/G/XmTaPWYz6/b6I+ppBEbgrbzB+l38EAJB/oBQ7T1Tg0wfy2HKKiCiESCkx74WOKyEefuoSGA1hO8ebiIiICEAYJ948dOkITMlJhJQSEsBdf9/m035TnvrUs1wadRTfvTDHTxFSOCpqTLyJsYbtW1NXPj/lBADkZnRepp+C2+zn8nt9jFdvmYQFuUz88JcrXvkcZyobvNZdNrYfnrt2nK5v6hFR96w96cAPf/4xFCEa/wFVDc4+f57UGAtKqm1t1v/qm2Nx3eSsPn++lt4+4K6i52D1Q9JYy8+9vvjNZ4e9xg+8607aWftgHgYmRfVZXIHgcKm4/JXP233s4anWdtcThbN75g7F6n3FOFhcAwAor3Pgd2sOc0ICEVEIaXB0/PnkmomZTLohIqL/Z+++46Oo8/+Bv2Zrsuk9kEIgEEIH6UhTaZKzn6L4Vayop95Z7jws2E9yetaf59l7P+spTZEuvZfQQghJgPTets7vj0022eym7+7s7L6eD31k5zOzk3dINpmdz/vzflMPDI8GNt3Mv6HtCX5V6gi6z29n99VKBeYNb5kkfWXBaNz31b5unWPlwUIcLKiCIAhQKmCdAFBYJwGUggChaVKged/BM1XYcrIMS/8wFHGhWkQFaTGhfySUCvYkIXsBXEUpCybRWvlKq+IfRjlb+Zdp+H7vGZgtIkpr9fhx39lun+OR7w/isR8OQQRg/bEQoVQIGBAdjNcXjnF1yH7jto92Yc2RIqf7fj5wDgNigvHAbLZ7IPI1u0+X46r/bJXs81+YHosdueXIKbGvkDky0f2JtgPDFciutKCijm0sSVpXnZeIb/cU9Po8HU3SeJOCinpM/ec6AEB6fEi7xyUE87qfqK3dpytsSTfN3t18Cu9uPiVRRABWLZfuc7fHSUyjksLx9g1jERfKpD4i8m6BmvbvVX+7p8DuunHaoGj0i9JBo1RCpbTOewgALh7RB6OTwt0dKhERkWwcKgUGfSCP+ybUNX6beNPa0cLqbifdAMCO3HLsyO3+53vm5yzb43dvHIdZQ+O6fxLySYVNFR36hvOmixwU11sTbyanRkkcCfXGkD6hGNInFH/5cm+Pkm4AoLTW+QRpUbUeqw8XoW9vAvRTjUZzu0k3zUYnsdoUkS+KCXbvddC4fhH45q4pbv0cPXWy0vpm+8lLh0kcCfm7F68ZhRevGWXbfm/zKbv3sTdNSUHh2QL0T+kHjVIBtbJl4cmiKf2g08jrVkNz0g0AHC2scdgfrlNjacZQ6GqyHfYR+bvEiECpQ5Ct7KIaGEy80U5E8rDsyhF4+LuDnR636UQpNp1wHH9rYw5yMzPcEBkREZE8seJNx1jxRqbmvbKpw/0apcKalg3rB30P3xRPGxQNvdECvckMvcmCpEgdhidw0pBaROisPdCrGowI17EfurdLCVVgI6w358f2i5A6HOql3lYuWjx9ADJG9IFaqYBGJUDdVGa3X1QQ1q/PcUWIfiVArcQPd5+PZ3/OQkp0EH7PLnVoN1XVYJQoOiJyp+QoHXIzM3DRi+txsk3VGVc4XV7v8nO6ysBwBU5UWrDrdDmSInVSh0Nkc+vU/piRFo1ZL23EjZP74clLh2H9+hLMnJkudWgu8dltE/HtngJE6jQoqdWjrNaAsjoDymr1KK7Ro7LeaGuftW+Cge/ViJroTWbc/bm1dXtSZCB+vncalAqh+RYaBNu9NMFuGx3sb3luS5UEu2PbnqSN9evXY+bMmT34atzHG2MiIuquf6462qPn/XVOGlRKBWYOjnFxRERERETehYk3XWAwOybajIxR4ot7ZiFIy39Ccp1O7h+RlxGbPh4sqGTijcwten8HNhwv6dU5Hpk/xEXRULPRSeH45q4p+OVwIb7Zbd/uYt6weFwxJlGiyIjIE26fNgBLurCisiOPzE+HRQQCVAroNCrotErMH97HRRG6XnMO6LHC2o4PJJKAwWS9+p3ig9Uezx8YjfMHRjvdV1jViEnLfrNtX/WfLfjtwZkeiozIu93/1T4cOlMNAHj3xvEIC1RLHBEREblLZb3zxU85z82HQsGb2kRERN1VKOqRaToudRjkQrLLGll/rBirDhVCFIHqRiPmDIuDWqmARQREUYQoAiJEWCzWSXGLdQAWUbRti83HArBYxE4+o3MHSswY9sTqLh9/7fgkZF41skefi/xHTaMJABCobr9vLnmPrWet36/RyUy6kbv0PiHdSrxJiwvGTVP6AwC+2Z3PliBulFdWj8Wf7HYYf/OGsRJEQ0SedO2EZFx5XiJWHy7EvV/s7dE5nlvhuCrzmcsMuGFySi+jc48j5daE/zc3nMSbG0467E+PD8GKP0/jjW2SxN78CgDA2crGTo70LfFhAXjj+vPwp8+sVT3YKpqoxYLxyVhxsBAA8P3eM1hysW9UwSIioq5Jjw/hexMiIiKiJrJIvBFFEQ1GM5atOIpPtp2227fyUKFEUXXPlzvzmXhDndI0LXPuWToYeVp8kALZlRZEB7PUvNw9fPEQPHyxtWLNj/vO4C9f7uvw+ONFtbhoSCwidBosnJjsiRD9VlJkIJ6/aiQe+vaA3XjKkuUI16mx7/E5EkVGRO50qrQO9QYTMl7b7NLzRgdrcfW4JJee05WemxqIRzY3tLs/p6SO14kkGbXC+l4lLS5E4kg8a93RYlvSDQBkjPDeqllEnlTRaEFZUY1t+80NJ3HFmAQMjvev3xFERP7saGFN5wcRERER+QmvSrwxmS249aNddlUHInRq1DSaYOphZRrA2kf0yvMSoRAEa79oAdbHQKsxoZ1xa69pRdMxzR/Zn5ncoTmBo7haj7jQAImjoc5MiFdi8xkTss5WIzFCJ3U45CLzR/TBB7/nYl9+ZYfHTXzuN4exf1wxHNdP7Oeu0PySIAi4ZnwSRiaF4baPdqGgomVCur0yx0Qkb1/uyOt1i6m2rh2fhAvSYzFnaBwEL+7t2TdY4TB2+7T+eDRjqATRENlrToL9fu8ZTB3kvC2Tr6nVm3DzhzvtxlYeKsTIxHCJIiLyHpk7GlFUf8S2rVIIbDVFRORHVt83ncmWREREvVBapsV7nwyUOgwvdk7qALrNqxJvBj660mGsos2kmkapQJBWiaoGIywiEBKgwgOz0xCkVUFvNMNoFhGoUULZdEM9NFCFucPivfoGO1EzvckidQjUDXVNv556kxhI3ketVOCHu8+3GxNFETV6ExqNZtzz2V7syC13+txHvz+ER78/BAB45vLhWDAuyVbJirrv+70FuP+r/e3uP39glAejISJXK6vV4/I3fkd+efsVXrrruglJWHalvKtMXjkmAd/tPQMA6B8dhO2nynHlG79DpVRArRSgUlg/miwiKuuNyCmpRXVTu9KH5g3GXTNS+d6HXOpsZQOmZK61bdcbTNCbzBJG5Dkf/n7KYWzhBFY7JAKAm4Zp8c+dLa3nTBYRyw+ew61T+0sYFRERucPBgiqHsT15FUy8ISIi6oXoKD1uvSFb6jC81rOvSh1B93lV4s2KP0/D/Nc2AQDGJIcjUqdBrd6ERpMFjQYzGk1mNBrNaDCY0TzPXdNowlM/ZTk9X4BagQn9o/DjvrPQaVQI0iqtHzVK6LQqiKKIvfmV0KoUuPuCgegXqYNKyQlSks6p0joAQHofvmmRg7V5RgyMDcacoXFSh0JuJggCQgPUCA1Q4+s7JwMASmv1uPG9HcguqYXBSdLc0h8O4T/rsrHl4Ys8Ha7PaJt0M21QNLQqBQLUSlwwOBZXjU2UKDIicoUzlQ29Srq5f1YagrRKqBQClEoF1AoBl49JcGGE0nhpwWikxgYj61w1IAJ1BhNMZhFGswWNRgtMZhOMZtG6v43nVx3D86uO2baVCgH/vXMyzkuO8OSXQD6mvM5gt73yUCFWPrYKH84Lkigiz1l12LG1dUiAV91GIZLMkCglvr1rMq76z1bb2HnJrAZFROSLFry91W47WKvChP6REkVDRETkG+IFLZao0qQOw2s9y4o3vTO0byhyMzO6dKzBZMFP+8/ivc2ncMPkfjBbRBhMFhjMFnyzuwDZxbVIiQpCVb0B5yrNqDeYUWcwoV5vhsHsOEH63R7rqlKlQoBWpYC6aUWpWqmAqumjWqGAWmVdZVpf24C3T2yzJepsPF6Ccf0icEF6LMIC1QjXWSdo1U3788vroVEpMDwhDANjg130L0a+psFghloB288NeTeLCPQNC2DCnp+o05vwxze34oiTiU7AmjC6N6+lPVV0sBaPXzLMU+H5vHV/nYn+0b4/wUfkT0YmhiM3MwP55fWY9vy6bj//5TXHHcaWfHcQX98xWfY3ge++oPMysx9vzcWb609CrVLgdFm902PMFhGny+qYeEO9MjwhDEefmYebP9iJrTllUofjUfdcMBB3frrHbuyz7Xldeo0S+YOx/Vr+3iaEB2IM/94QEfkksVWx7wuTVHj/7rnSBUNERETkpbwq8aY7NCoFrhqb6HS1+50zUjt8rsFkQYPBjL35FXj6pyzoTRZcMqovgjTKpqo6FpjMFhgtIowmC0wW6wpTo9kCk1mEwWyBvs56njqDGRVNKwB3na7ArtMVXf4aYkO0+GLxJKTGMBGHSI4EATA6SeQjeTtX1YDJy9bajQVplKgzOG+p8MIfR+KPYxPZ1sPFRNG+hRuTboh8V1KkzmnyfXZxLWa9tKHb57vmLfvVmCEBKvx0z1Sk+MjvkUajGSsOnkN1gxFnqxqdHnNReixeX3geAtQK/n0ilwhQK/HF4kkAgJQlyyWOxnMUTl4/c4fFSxAJkfcpb7Tgkv+3WeowiIjIAz6+dQKuftP6PmttvkniaIiIiIi8k6wSb6rqjWg0mSEIgFIQoBAEiAAsoghRBESIaPrPti3atpseN42fKq3DG+tPIjpEC8DakxRNc3wW0ZpcE6HT4IoxCS3naXWuI0erMXhwYqsx4JHvD3br6ymu0UNv5KQ9tSLYfgxJBhQCcORcDYxmC6sU+ZDcUseqAW2TbpIiA5EaE4xRieGoqDdgW045Jg2I5OSmC+04VW63/dGWXAgCMG94PGJDAiSKioi6ymwRse5oMUwWEa1/NQqA7Xdl83DzfttHCGj6D2/fMBaLP9ndq1hqGk3Yk1chy8Qbi0XE//afxfGiGtTpTfho6+l2j1UrBQztE4q/X5yOKanRHoySyHfpnbQTZQVbIqtGE3DwTJVt+0xlA85WNqBveKCEURERkTvENs2hNMsuruU1EREREVEbXp14c6CgEpe+/rukMWw4XtL+zkPdS7Rp629zB2No39BenYN8i8DMG1k5XmEBYMG+/EqMT5F3SwtqMTk1Cm9cfx6e/ikL9QYTqhsdV/Lklzcgv7wB64/Z/414ZH46Fk/vuOoadU3bNjFP/O8wAOCtDTn4fcmFUoRERN3w73XZeOlXx1ZQUvh9yYVIkNEkoCiK+Pe6bPzrl87//a48LwF3zUjFoLgQD0RGZM9k8f03LvkV9gnZfxqtbedIIv/TN1iB3MwMrDtWjJs/2AkA2JZThivPc6xMTURE8rYvv9Juu7i6kYk3RERE5DGm8LEoy9jesyf/6rl0GK9OvHnomwMuPd8LfxwJQRAgAKhsMOLXrEKHYwQIEARrK6vEiEDcNKU/lAqhaXVuy/7t27dh8uTJtnFF03nR6hgBTeNNq3fNFhHN9yZjQnjDjhwpBMAC64QLK2d4v+QQBVQBgRjXj33sfc38EX0wf0QfuzFzU9tBvcnaerBOb8KMF9bbHfPciqP4Ykc+rhyTgHsuHMjXcS8IgoDczAxsyS7FwndbLqjOVDbgl8OFmMM2D0RebdGUFOSW1qG60WS7Fm7pICfaHjcPiaKI/QVVKG9q4doVYYFqfHXHJNt1uCAICFArEKRRIVCjhFYlzzZLm7NLnSbdBKqV+OiWCQ6JiURS8Yfirc+vOma3/cY+Pf58lRkBaqVEERF5jzqjiEnP/YbC6pa2h4F8bRAR+aSZg2Pttv/1yzG8EqFDcpROooiIiIiIvI9XJ978756pmPfKRuSU1jnsCwlQ4f5ZaYgK1iBYa/0yzBYR09NiunyT/dap/Xsc28lAhaxWzpI8BAeoYBGBRqMFgRresPJ2UYEC8uqMUodBHlBY1Yj8inoYTRaU1Orxly/3tXvsqdI6vPjrcdw+fQAnZVxgcmoUbp/WH+9sOmUbW/zJbqz/60xZto0h8hdhgWq8tGB0p8ctP3AOd3++p0efo6rBiHmvbMIzlw3D/03qJ8skG2d25VbYbWtVCux9fDZ0Gq9+60Z+5A8j++DnA+egN/l+xZuPb5mAG9/fYTfmD5V+iLqislG0S7oBrC3YL26zgIGIiOQvLFCNsEA1qhqs90H35FXiqZ8O472bxkscGREREZH38Oq7txqVAqvvn465r2xETol98k1NowlP/5zV7nP7Renw9R2TERca4O4wiVwmpCmJrFZvYuKNDEQHCthbbEB1gwlhOrXU4ZAbmMwWDHx0ZYfHRAZp7Co0fHvXZKTFhTDpxkUEQcCjGUNRqzfhix35tvGDZ6qYeEPkA4b2DYVSIcDci4nspT8extIfD+Pv89IhCECQRonrJiRDpVS4MFLPefW3E7bHq++bjsHxbCNF3iUhwroAxewH+SfT02IcxvbmVWDaIMdxIn+TEKKATqNEvcFsG/vvnVMkjIiIiNypOekGAN64/jxMGxQtYTRERERE3serE28AQK1UYO2DMyGKIgoqGtBgNMNgsqDBaEZeWT2+2pWP0hq9Q1Wc02X1mPjcb3h5wShcMYb9pUkegpoSb+r0JrYjk4FgtXVlfVmdnok3PuqTbac73P/M5cMxIiEMSkGAUmH9X28y48i5GgyKDUZEkMZDkfo2g8mC0AD719i9X+zF4PgQpMVxQppIzvpHB+Hkc/PtxiwWEUcLa1BWp8cN7+1o55mO/rnqqO2x0Szill5Ut/QGaXHBOFpYjf0FlcgY0cd2nUjkaSaz9f13g9EMvdGCrLPVAICsMjOukjg2T9CqFNCbWvpqfbL1NBNviJp8fcdk3PfVPmQX1wIAZr20ATPSYnDleQm4bHSCxNEREZGrVNbbtwRu255dzirqDVh/rBhqpQIqhQC1SgG1QgGVUkC/KB0rjxIRkdsUinpkmhzbzZN8efVVQ02jEceLaqBVKXHlG1tgMHeviXz/6CDeECNZKau1vokJDWQShxx8n21d6ZFdXIsBMcESR0PukBTRca/qpT8c6nB/bmaGK8PxO4VVjZi07Ld292/PKWPiDZEMlNXqMfbZNW47/9A+ocg6V435I+KRFKFDuE6D/5vUz22fz90uH90XP+w7i+NFtbbWhg99c8DhOEEAFIIARdNHVVMCqKrphvGC8Ul4YHaaz7TgIufmvbIRRwtrJPncyaHyrCrVXa2TbgDg7gsGShQJkfcxW0Rb0k2zDcdLsOF4CTJG9JFt9TkiIrLXtjL76sOFmDssXqJoXCc0UIUdueW46YOdTvdPHRiNT2+b6OGoiIjIX8QLWixRpUkdhtd6FuekDqHbvC7x5sPfT+HJn9pvIdUdf5s7GNHBrBpC8lGjNwEAwpl4IytzfOCNJjk3a2icLXlGFEWsPlyIwqpG/H6yDL9mFXX43PcWjfNEiD5t+6mydvcdfWYe23kRyYTCzYkfWeeqMW9YPCwWa9XLvPJ63PvFHlhEYEJKJG6b1l9WySeLp6fih31nOz1OFAGzKMLa4EOEvs3+/7c2G7dNG4AwXlf6tORInWSJN09sacQTW5bjpWtGITRAjZmDY/xikp1Jv0Qt9uRV2G3fe+FADOsbipGJ4X7x+4CIyF9UN5jstu/4ZLdPLDZ79doxOFlSC6NZhMlsgckiwmi2wGgW8dpvJ1DZYOj8JERERD3Eije+x6sSb37NKupS0s0rC0YjLjSgqa1H8wpPBRQKQKmw3lQP0qiQFNlxpQIib9MnLAAAkFdej5ToIImjoc7MTVFhda4JJ0tqkcqKNz7trQ0nsWzl0c4PbDI8IRQXDYlzY0T+4bLRCRiTFIHcsjrc+L59u5n0paswd1gc/nP9WCgU8plQJ/JHEUGaDm/K/m//Wfz5i729+hyrDhc6Hf81qwhzh8UjOUo+7wvmv7ap3X1PXToMA2KCoFIooFYK1nLoTR+VCgFqhQJKpQABgE6jZNKNH3j7Rvcn+p6tbMDv2aWobjShsKoBn2/PQ53BbNv/wNf7AQCLpw/AI/OHuD0eT1MpBJgsom378NkqjEuJlDAiIu9xvKil2s3N56fgwTmDJYyGiIjcpW3F56cvGyZRJK4VpFVhZGK4031f7shDUU2jhyMiIiJ/UlqmxXufsKpu+1jxpldu/3iX0/ERCWF464axCNepEahWymrFKlF3NFdoqmowFcqyhwAAIABJREFUShwJdcX5fa2JN9tyyph446MOFlThx31n8O7mUx0e97e5g3H9xGQEqJXQKBVMBHGh5CgdkqN02PHoRbj2rW3IKa2z7Vt9uAgDHllh2x6VFI6Pbh6PcJ1GilCJqIcuHdUXl47qa9v+7658/M1Ja6Wemv7COnxz52RZTpS/e+M4XJAea1tcQCSFFQfP4dnlRzo97qL0WA9E43nv3DgON3/Y0n7g6135svx9QuQOD8xOwxc78gAAT1ziG5OwRETkaGy/CLvFDo//eBjldQbcN4vtMYiIiIiaeVXd1/tmDXI6fvBMFaZkrsXQx1ej/8MrkLJkOVKWLHfItCaSO63K+pKsaTR1ciR5g/AA6/drz+lKiSMhd7nk9c2dJt0AwAurj+HQmWoEqJVMunGT2JAArP3rzA6rZuzPr0Reeb0HoyIid7h0dF9cNyEZE1IiMaRPqEvOKaeEvLtmptoe3/bxLkz751qYzBYJIyJ/19Uqfgve3mZ7r57vQ3+PhyeE2W1/vasAu3LLJYqGyLsEa1vW8+lN5g6OJCIiObt9+gDEhmjtxtzdUpiIiIhIbryq4k1zhvQra0506fjSWr07wyHyuPqmku3hOrYFkIOKRuskWHp8iMSRkLuseWAG1h4tgigCH27Jxbmq9kvM/t972/HOjeMweyhbTLlTbquKN81+vncq+kcHIZCJT0Q+YeXBQtvq+Z6KC9XitqkDEBygwjXjkmRVMWZCSiT+g5O27XqjGWIHxxO5W//oIORmZkBvMuPTbXl45ufO20P7kqJqx+u/N9afxPs3seoN0e7TFbbHWpVSwkiIiMidKusNKK6xn4u5bHTfdo4mIiKiroiO0uPWG7KlDsNrPfuq1BF0n1cl3mw5Wdpu0s2sIbGYPTQOV4xJhEblVYV6iFzIOq0ip8khf6ZVWr9P0SHyWUVP3TMwNhgDY61txO6YkWq378o3fseePPtqR8+tOMLEGzfSm8yY+a/1dmPvLRrnsBKdiOSnptGIi17c4HAzt7umDYpGakww/j4vHYEaeU4Ani5rSTA8+dx8XheS19CqlLh+YnK7iTdL/zAUt07t7+Go3O/HfWccxrS8J0EEABja11qZbkxyuMSREBGRO4UF2i8SHZMcjuRInUTREBER+YbSMi3e+2Sg1GF4sXNSB9BtXnO3yGCyYOE72x3GN/7tAuRmZuDdReOxYHwyk27IpwlNJTotItc1y0HzNJjBxPYP/uiN68c6jJ0qrbO1WDhWWCNBVL6tusGxDd+4FK42J/IFDUZzr5NuAGDTiVJ8uCUXQx5fhe/3FrggMs/rFx1ke5z6yAoJIyHqnmd+zrJdB329M1/qcFwmycmk0lOXDpMgEiLvE6FTIzJIg4o6A85UNkgdDhERuYnQpq3U3rxK9H+Y71WIiIiIWvOaijdqpfOVnNNfWIfnrhiB4AAVdGolckprMSguBOenRkOtFBwu+ojkTNW0otloZuKNHBia8m0CNV7zq5Q84M5PdmPV4cJOj9PJtNKCN4sJ0WLTQxdg2vPrbGOv/XYCS/8wVMKoiMgVYkMCkJuZYTfWaDTj6Z+z8Pn2nrWdigzSuiI0j0uNDpY6BCIHl72+GfsLqrp8vFbtOwtmckoc21xuzSnDZaMTJIiGyLsIgoD0+BBsOVmG8zPXYu/S2YgIYkVYIiJ/kbJkOVbfNx2D40OkDoWIiIhIcl4zWywIAn64+3xc/u/fodMoUW8w2/Y98v3BDp/7zGXDcMPkFDdHSOR+zRWdTGZWUJGD5g5TxdWN0gZCHnX4XNcmnZqTQwZEB+Hxce6MyL9UNRjttlOiWNqYyBc9+b/D+HBLbq/OkVNSixlpMa4JyIO+a1WpZ9IAVvUi79Be0s2+x2cjJEDt0y3R7r1woN3vo+hgDSanRkkXEJEX0ZvM2HKyDADw6PwhCNepO3kGERHJUUOruZq2csvqmHhDREREBC9KvAGA0Unhditd9SYzGgxm1BnMaDCYkFNSh8Wf7HZ43tIfD2NyahQGxvICj+TNZLFWuvHlG9e+RNHUbEqt9J0VvdS5TQ9d6DB235d78cO+s06Pnzk4FkCxm6PyH1/utK98ERLAm/tEvmhUUlivz/HUT1l46qcs3DF9AB6eP8QFUXnGieJaAEB6fAi+XDxZ4miIALOl/WqcDUYzwnW+Xd0iMkiDi9Jj8dtR6/Xcwon9EBsSIHFURN7h2re32R7fPn2AhJEQEZE7LfnugN129j8uhor3Q4mIiLpNEITFABYDgDJEntW6qX1elXjTllalhFalRHjTYvbECB2G9Q3F4bPVDsfOemmjw9gv909HWhyTcUg+RNF6U1vBFmqyUN5orUxUVquXOBKSUmFVo9Okm7H9IvDNnZMhCALWr2fijatcOz4Zn25rSb6576t9uHwMWz0Q+ZqBMSG4YVI/fLLtdK/PtSO33AUReU6d3gQAKK7h9QVJ70BBJS59/fd2909ettZhLPPKEbh2QrI7w/KoynqjLekGsLa5fGB2moQREXmPhROSsTevEgBw5Fw1hvQJlTgiIiJyh0ZjS8UbAWDSDRERUQ+Jovg2gLcBQBMX0v5KJ5Ilr068aStArcTyP09Dnd6E19aegAAB/aJ0qKg34PlVxxyOt4j8eSV5EZoSbsz82ZWFEI31+yUwUcqvlbQzMbr7dAX6P7wC3/1piocj8m1/+H+b7bYvH91XokiIyJ0ueX1z5wd1Yt/js2VZieNcpbWFZXWb1npEUjhZUtvt52jVvjURExGkwcjEMBxoare1YFySxBEReY+rxyXhb99YqyCU1OgxpI/EARERkVs8Mn8IVh8uAgCcF6eUOBoiIiLfEB2lx603ZEsdhtd69lWpI+g+WSXeNAvSqvDwxdZy8WaLaNdvvbV5r2yy3x4WjzdvGOvu8Ih6rLnSjaWDcu7kPZq/TXGhLDXvz0YkhiE3MwPLVh7BWxtyHPZf+cYW/GeWToLIfNMTlwzFUz9l2bb35leiutGIULacIpK940U1eGtDDlYeOtfrcw3pEyrLpBsAeCRjCBa9v8PWgpRISleMScQVYxIBAHd/tgfLD3b8+lz+56kY1rf3reK8zWe3TcSIJ38BAHy1Kx9PXDoUOo0sb6cQuc2BgkpMT4uROgwiInKD1vc+Kxr5PoWIiMgVSsu0eO+TgVKH4cV6f4/Y02S/FG3j8RI883NW5wcCOFPZ4OZoiFyD8yzyEKq1JkoV1zRKHAl5g4cvHoLczAwcfWaew7671tTj9+xSCaLyPQvG268yP11Wjwe/3i9RNETkSrd+tBPf7ilAvcHc+cFtTEmNwt/npePhi9Px6Pwh+PiWCW6I0DNGJvhe0gL5hsXTByA5suNk4g9+z/VMMB62/ID9zZ4qVqQiAtDSLlsQgDtnpEocDRERuct/d+XbHudUWSSMhIiIiMh7yX6J1szBMXhlwWjklNRCq1bCbBFRqzfh7Y2OVQd+uneqBBESdZ2CHYtkRa2w3mCsaTRJHQp5gcp6A+oMZlTWGxz2aZXAcB9c/S2FjcdLHMYuHcV2U0RyVlKjx6PfH0R+ec+T5AfEBGH+iHgIECBCRL3BhNNlJgRrVYgK1rowWvdT8IKQvFBFnQE3vr+j04STf1wx3EMReVbrKh4T+0eiT1ighNEQeY/mtsuiCBwtrMFwJo8SEfmkeF77EBEREXVK9ok3giDgDyP74MMtuXh2+ZF2j7vqvEQPRkXUM41G64qBQDV75cpBaYMIUQT6RbGNkL/KL6/HtW9v67Si2rPnByJMx1ZIrnDnp3scxkYm8gY/kZz98c0tOF1W36tzfLotD59uy3O6b80DMzAwNrhX5/ekUU/9InUIRA7qDKZOk25OPjcfSh9NHPtx31nb4+2nyiWMhMh7vb/5FF5aMFrqMIiIyA1u/3iX1CEQERH5nOgoPW69IVvqMLzWs69K97kFQZgCIAWtcmlEUfy4s+fJPvHm6Z+y8P7vp5zuC1ArcO+Fg3DXjFSuHCVZaP4xNYvsNSUH+qZOGDEyW0lPvVerN2H1oUI8+N/2WxxdProvXl4wGoIgYP369Z4LzseNSgzD/oIqu7EZL6zHF7dPwuTUKImiIqLe+OCm8bjwxQ1uO3/myqN4d9E4t53fXW6f1l/qEMhPiKIIiwgcLazGf3cVQKu2dqSO1GnQJzwQZosFZgvw/FUj8dC3B9o9j68m3QDAp9tO2x5fOSZBwkiIvM+VYxLw3d4zMLFnNhGRz+rsOpCIiIi6r7RMi/c+GSh1GF7sXOeHuIEgCJ8ASAWwD0DTTDBEAL6feDNzcEy7iTeNRgteWH0MCyckIyJI4+HIiLrPaLbeqPLhe9Y+RWOdk0CdwdzxgeRzrn93O/bnV3Z4zA/7zmLG4BhcMYYV11xp1pA4h8QbAOgTFiBBNETUWy/9cgyvrXXvyo7qxo6rdHirD7fk4tGMoVKHQT4iZclyt517498uQLKPV4BsXd2wf3SQhJEQeZ+CptfH7tMVEkdCRETuUFjVaJd0c2GS7KeUiIiIvAIr3nRMwoo34wAMFcXuV8mQ/VXS9LQYHH5qLvIr6jHvlU1OjxnzzK/IzczwcGRE3de8SrSBiRyyoGpKvCms6rjNEPmeZVeMwLKVR3CmogHzR/RBoEaJX7KKHJJx7v9qPy4e3keiKH3T1eOS8OKvxx3GZ720ASaLiG0PX4R4JuEQyUZvk26UCgFLM4bgiqa2sqEBKgiCvDOYr5uQhC925NsSsolcoV+Urtct3Zw59uw8aFW+3yZ34cRkfL7d2s7uxV+P4+ap/RGslf3tFCKXiGhqqSvH6nJERNS5uFD7St+XD+ICZyIiIldgxZvOSFPxBsAhAPE9CcAn7hQFaVVIjw9FbmYGrnlrK3a06bn+p5mpEkVG1D2RQdYbVrV6k8SRUFeEawVoVAocKayROhTysKF9Q/HJrRPtxu6+wHqB1Pbv0IK3tuKafhYYTBZomrO1qMfiwwJw8Mk5WHWoEH/7pmXFVXNp+0nLfgMA3Da1Px6eP8Sn214Q+YLczAwYzRacKq2DSiHAaBZhNFvw0q/HsfZocafPN1tEPPlTFp78KQsAcNfMVPx9Xrq7w3arP180CF/syEd400QmkSts+NsFXTquoKIeU/+5rsvn9YekGwB46tJhtsQbABj+xGoA4AIf8ntGswWrDxcBsLarG9InVOKIiIjI1QRBwL8Xnoe7P98DAPjgkB6XzpE4KCIiIiL3iQaQJQjCDgD65kFRFC/t7Ik+kXjTmsrJBJtKyYlOkodgrXWCha2L5EGpEJAeH4JdueWdH0x+4+s7JuNMZQPOz1wLANhfUIX9BcCjv69EakwQfntwprQB+oCQADWuHpeEq8clQRRFPPbDIXzWajIMAN7dfAo3T+2PhPBAiaIkoq5wZfubCJ0al43u67LzScVosiYSVtbLs0UWyU+j0Yw3N5zEK2tOON0vCMATfxgKg9mC6gYTJvSPxLRB0diwYYOHI5WOSiFgZGIYDrRpd/nbkSJcNCROoqiIpJdf3lJJ62RxnYSREBGRO80e2nK9s7fYjOziWgyMDZYwIiIiIiK3ebKnT/SZxJuvd+XjoVYr31ubzRthJBNqpTVxrLRG38mR5C1EESiq1rOaCdk0Gs3IOluNB2enObREOllSh4nPrYEoAtYCLWLTY+ska9umIjPTYvDPP470m9XkXVFvMOHez/fit04qYaTHhyA2RNvhMUTkftnFtfi/d7fDaLZAoRCgFAQoBLi0HdSA6CB8sXgS4kJ9o83c3vwK2+M3N5zEnTNYvdNf1epNuPXDndiZWw6h+bUDAWaLBYpfVwCwbtu0eVkJsL+2aPuqa34ZNhot7cYwPCEUbywcCxEiAtRKn3mddZcgCHjx6lGY/fJGu/G9eZVMvCG/NiAmGHGhWhRV63H5mASpwyEiIjdpW0343U05WHblCNm3+SUiIiJqSxTFHq8085nEG52m/UnJS17fjOhgDb6763wkR+k8GBVR95ibWqVU1BskjoS6QhRFHDxjXfV6rLAGIxLDJI6IpHTxq5tw5Fx1p8cVVXc9se6HfWfx4JzBSIrk365mZbUGp0k3g+NCUFanx8DYYLx4zWhWuiHyEj/tP4vC6ka3fo6c0jpMfM7aZu6z2ybi/IHRbv187vb62mzb48yVR5l448cKKuqxvbl9pSjCWhPT+n7BbG5OqWmbtutah85UY/oLLa2nJqREYuHEZMwbHu/Wz+uNlq086jB28/kpng+EyMtcNCQOn2/PQ25pHasfEBH5qFWHCu22v9yZj2VXjpAoGiIiIiL3EQThSgD/BBAL6zo2AYAoimKnvZV9JvFmdFI4nrp0GJ7432Gn+0trDbYbhr/ePx2D4kI8GR5RlzRPTJks7r2BTq5xsLSlJdjwBPay93ftJd1EB2thMhpQqbd/Xf949/mIDNJApWyqAKEQoBDs1q1Dq1ZAp/GZP9UukRSpw4l/XIxBj660G585OAYPzx8iUVRE1J77Zg3CoikpMFtEWETr/82JxqIIW9UvsyhCFEUcKKjCA1/v79Hn0igVSPaBRMX4sACcKK4FAPz24AyJoyEppceHIue5+U2vHdheQxs3bsLUadMgNo1DBERYH4uiCBHNr69Wj1vvb7oksTQ9Fls9BkSsP1aCZ5cfcRrTjtxy7MgtB74C1Apg6KHNMJpFGM0WmC0ibp7aHzdM6ueRfx9PWzghGWvbJP8GaXmdRv7NbBHxeVPL15ToIImjISIid/l4a67tcWKwgDV/n8tqN0REROSrngdwiSiKzm+OdcAn7hKJooip/1zX+YFN/r0uG69cO8aNERH1THMljNAAtcSRUFdUNFpnLZpbhJF/y83MwL/XZeOF1cfsxktrnVe4CdQoWcmmh9RKx7ZuMwbHSBAJEXVGEAREBmm6dOzRwuoeJd3cOLkfHpw9GGE637h+umtGKjadKAUAnKloQGoMqwf4M4VCgKJNk6gAlYBgNyZ8bDxe2qXjjBZgf0GV3djSHw75bOJNtJMWlrtyKzB1kLyrbBH1hlIhIFynRmW9EZkrj+LdReOkDomIiNxg4cRkWyXGgloRv2QV4dJRfSWOioiIiMgtinqSdAP4SOKNIAj47LaJ+PnAWVgs1mohJosFP+476/T4flFchUPeKabpZu6Y5HCJI6GuUDXN/fePDuIqDz/3/uZTePrnLKf7bpqSgoqiM0hJSYHRbEGQVoVbp/ZHgLr9FonUPbsfm4WoYMfJMCKSl4Lyhh497+Otp7Etpwy/3O8b1WG+2V1gezw9jUmF5Hm3TO2PW6b2BwAUVzdiQlMrt9YeyxgCS+kpjB97HtRKBVRKASqFgLjQAE+H6zGDnVTNDfeRhD+i3ogM0qCy3gij2SJ1KERE5Cbp8faVvs/jvWsiIiLyXbsEQfgKwA8AbCvrRVH8rrMn+kTiDQAoBAGxIQFQCAIUQkvLHmdGJYV5MDKirrM0tV6oajBKHAl1RVVT6yABTLrxd2kdtC88VVqHcAB/uiAVWhWTbVxFo1LAYLLe3B/77Brcc8FA/HXuYImjIqLemDU0DrmZGWg0mpG+dFW3nnu8qBYpS5YjMkiDPUtnuylCzzhZUit1CEQ2se0k0jS3ojo0P8St1Xe8ibM8+2F92W6WqNFgbcE8KJYV2oiIfNW8VzfabSeEB0oUCREREZHbhQKoBzCn1ZgIwD8SbxoMZlz3zrYuHRsXqsWp0nqU1Oht1UWIvEXzzyTTOORheqIaXx834lhRjdShkMSmDopGbmYGtpwsxcJ3ttvt23C8BAAwJ6sYGSP7SBGeT/rw5vF2/9avr8vGqsOFWPOAb1S8IPJnvakItnBCsgsjkYazdnpEUimuaX9BCwCsPVrsN20GAtRKaBSAoamoR0qUjlUvye+JooizVdbfE/fNTpM4GiIichdRtN82W0SolL59HSQIwPHCWsx6aQMC1UqE69RYduUIJEawbTwREZEvE0Xx5rZjgiCM78pzfeKubqBGic9vn9ilY4uq9Xjm5yyM/8caVNYb3BwZUfc0T7QYWKJZFoI1AgbHhWBEAqtokZXRbH8n4s4ZqXhv0Tg8MFaL+SPiJYrKNy3+eLfD2HU+MOFO5O+OnKtGypLl3X7edROSkZuZ4ROVr4ayggZ5EUUniSUxftbqcXRsS2Jgblm9hJEQeQe9qeXexYqD5ySMhIiI3OnQU3Pttk+X+/510KIpKbhkVF8MjgtBoEaJTSdKcaCgSuqwiIiIyEMEQRgqCMIzgiBkA/hPV57jExVvAGBKqrXaQLNlK47grY05HT6noKIB4TqNu0Mj6rJavQkAEKTxmZemz1MoBMSHOS/BT/4nNSbIbvvNDSdR1ZCMuTEqroh2sZ2PzsKQx+1b0TzzcxYig9S4YkyiRFERUW/17WHJ8r15FS6ORDqBGrYlJO8RHazFkafnIetcNa76zxaH/de9sw3Xjk/CM5cP94tqTTsKzVKHQORVAtRKJEYEoqCiAWofr3xAROTPdG2qkmr84Lpv2qAYTBsUAwA4VliDua9s7OQZREREJHeCIKQAuK7pfyOAfgDGiaKY25Xn+9zs/jVvbcWOU+WdHnffrEEYzioV5HXEzg8hr2JkdSJqJTFCh+EJoTh0pto29sWOPJzqo8SMGSKTb1yovYnpGWmxHo6EiFzp3+uyu3X83qWzIQhASIDaTRF5XojW596ikUy9vfEknltxtNPjvtyZj8XTB2BATLAHovIu1Y1GhPrQ7x+inqios1aTvmAwr8OJiHyVpU2vqd60ByYiIiLyRoIgbAUQCuBLAFeJonhCEIRTXU26AXwo8ea3I0W49aNdTvcpBOC9ReMhQoTFAoxMDENsKCtUkPep1VtXUNYbuJJSLsID1Siu0UsdBnmR9xeNx4TnfrMb21Vo9ov+1540z8lKo9X3TUdkECvZEclVrd6Edzd1XLGyrYp6g89N9n++PQ8A0JcV9UhiHSXdPH3ZMFiKT+KiaZMRGqBGmM73k09E0XGRhMgcfCLcNTMV//rlOFYeKmTrVyIiH9V2IVmEH1z7ERERkd8pApAAIA5ADIAT6GbFDJ+oCZhXVt9u0g0AZD09Dxekx+LC9DjMGhrHpBvyWuGB1jctAWqfeGn6hTqDGZF8s0mwTsZ8sSPPIekGAN6YpYPKD8rwelL/6CCHsbQ435p8J/I3pTV6WLpZ/G9XbgU+2ZqLnbmdV7yUi/Q+oQCAB+cMljgS8nfPXTECYYHOr3Mf//EwntzaiIzXNvlF0g1gnXBaMNg+wddfvnaijjRPxp6rbJA4EiIicpeTJbW2x3eO1PIeFxEREfkcURQvBzACwG4ATwqCcApAhCAIE7p6DtlfIeWX12P6C+scxt9bNA65mRnIzcxg6UOSjea2RXzzIh91epNPtbegnnvomwN4+LuDDuMf3DweGla6cbllV45wGGMrLyJ5S4kOwt6lszFtUHSXn/PQtwew9MfDuPrNrSjxkQp0a48WAwDyyusljoT83cKJydj/xBzkZmbg9mn9nR6TFKlzWgnGXzQaWamUqKGpYu+qw4USR0JERO6SFKGzPX7zgG+87yIiIiJqSxTFKlEUPxBFcQ6AiQCWAnhZEIT8rjxf9q2mmhMV2kqLC/FwJES9xzljeRFFEeeqGro1QUi+Z/XhQtzxye5298eGaFFyzoMB+Ym2STaf3zZRokiIyJW25pRh04nSHj335g93QBSBCJ0Gb90wFkFaeb/VKapulDoEIpt3Np1yOv7eovF+lfiaEGz/tZbW6pHYaiKKyB+9vi4bAHDNuCSJIyEiInfxlUUORERERF0limIxgNcBvC4IQr+uPEf2ZTWOnKtxOj7t+XVIWbIc3+8t8HBERD2nVVmrM3HlpDwIgoDhCWHILq7t/GDyWTklde3uW/qHoRjWN8yD0fgPnca+mt3Cd7ejoILVIYjkrNFoxr9WH+vx8w+dqcbhs9XYnF2Kmf9a77rAPGxGWgwAQKHwn2QG8k6iKCJlyXKkLFnudH9UgID4MP9q47yn2P59WrDME/yIeqv1Yrjbpg2QMBIiInKXRqPZruNAVADfpxAREZF/EUXxdFeOk3XijSiK2JNX0eEx93+130PREPVec5V2hR+tGpW76GAtV334ubtmpiI3MwP7H5+DkDaTL8/8nCVRVL5P3aYl39xhcUgID5QoGiJyBZNFRE5p+8mM3bHyL9Ncch4pzB8RDwDILmJiL0nrwa/bfy/90z1T8eJMP6z00qar1raccmniIPISba/JiYjI96gUgl217ztHaSWMhoiIiMh7yWJ5VqPRjOoGI9YeLcbjPx6GoZ32Uq19fvtEaJQKDIgJ9kCERK6hUloTbuoNJokjoa4qrdWjRs/vl7/Tm8x47/dT/FmQUHmdwa9aXRD5omCtCrmZGTBbRDzxv0P4dFtet57/7OXD8X+TulT106sFqK0Vvfg3haQ2OL799s2XvL4Zo2KUCBtQgf7RQQjXaTwYmXQuHajG+oKW1+awvqESRkMkvdLalkUoRrOFiThERD5IpVTgo5snYMAjKwAA/9jeiMtmNSI2xL8qHxIRERF1xmsTb44V1mDuKxu79ZyQABWmDozGS9eMRmCbFhREcmC2WJdQNrecIu9X02hCv0g/XO1LdgY/tsrp+P7H53g4Ev/1zo3jpA6BiFzkyLnqbifdAMBjPxzCYz8csm2fWjZflgl5X+ywfu19/KyFD3mf26cNwIpDhdifX+l0//4SM654YwsA4I3rz8P8EX08GZ4kIgPskwp+ySrCrVP7SxQNkfQiWyXdnSypRXo8k9GIiHzRZzta3p+NilEiKohVb4iIiIja8rrEmw3HS7Do/R3t7h+ZGIYZaTEwW0SYRRFmswidRom7Zg5ksg3JXl3TymaNSn6TRP5IbxaRXVyH6ycmSx0KeZmPb5mA6WkxUofh0277aKfddn55g9+stifydXpT59UtOzMlNcoFkUhj7rB4bMspx9pDDMk5AAAgAElEQVSjxVKHQn7OYLYgPFDd6XEjE8MwsX+kByKSnsEsdn4QkR+xNPXLDtepmXRDROTDfj9RanucEqqAUsF710RERERteVXizW0f7cKaI0UdHrNocgquGpvooYiIPCtIa31J1hvMEkdCXaFpWvB6rLBG2kDI69z4/g4cfWaerV0IuZ6lzbzXwne24eBTc6UJhohcYl9+JS7/9++9OseXiyfZbgLvOl0BAUCf8EAkhAe6IELP6CujWMl3ZZ2txvzXNjndlxAeiNFJ4RgfXIGbLrvIw5FJq1JvfwFiaXtBQuRnjE3JaJX1RoiiKMtKc0RE1LmwVsnYP540YmmtHtHBrHpDRERE1JrXJN6crWzoNOnm1WtH49JRfT0UEZHnBaitmRwi79/KgiAISI8PgYKrPPxWYVUjZr+8wem+1YcLcdnoBA9H5D/aVoKo0ZuwJbsUUwZGSxQREfWWK/6cXvv2Nqfjux6bJZsbw9nFtbbHnMQkqcSHBSAxIhAFFQ0O+85UNuBMZQMSR8rjNeVKxjYFuZoXThD5K1aeJiLyD0svGYrtp8qQW1YPABj37BrsXTobEUGsPExERETUzGvuEqmVinb35WZmeDASIunU6q2VbnbmluMSJpnJQlmdQeoQSELf7ilATaPJ6b6/fLkPf/lyX8vAquW2h69eO5pJOT1UVW/EqKd/cbpvw/ESJt4QydjIxHB8uXhSu8kzPTVrSCwiZdSKrvXflYNnqjAyMVzCaEhu5r2yEUc9VI1xda4RD3vkM3mPgDY5BseLWPmS/Nv2nDIAQGIEq7UREfmyYK0Kf5+Xjrs+22MbYwIyERERkT2vuTqKCXG+Wu7m81M8GwiRhFRNS73zyusljoS6qqrBiBiZrKAn12tdlaA7GthOrscs7ZQEWzx9AB6eP8TD0RCRqxlMls4P6oaf752K4QlhLj2nu6XGBNkeZ52tZuINdUtlvdGt5//mzskYFBuCQI0SWzZvdOvn8kZRgfYLhjSq9hcQEfmDjSdKAAAFFQ2wiICSRdqIiHySyWyxS7oBgLTHVuKHu8/H6CS+XyEiIiICvCjxpj33XjhI6hCIPKZ5Qvn/JvaTOBLqCosowmi2tJs4SL7v5QWjkV9ej12nK2xjXy2ehIkDouyOW79+PWbOnOnh6HxTRJAGR5+Zh2FPrIbZ0pKE8+6mHDzCxBsi2ZueFmOrdplfXo9pz6/r1fnCdWpXhOVRBnNL8lF1o3uTKMj3bHvkIrecN2WJtXLfmOQIKP24zeqxcvvk6SPnqiWKhMg7PDB7MD7bnofKeiNKavSIDwuQOiQiInIDk8X5IqgotpoiIiIisvGK5VmNRjMmL/vNYfyheYMRyYs38iP1TVUw2CddHmoMgCgCo7iyw6+9dt0Yu+0Fb29DypLlaDSyqo27GM0Wu6QbAPjmrikSRUNE7pIUqUP2Py7GZaN71n7zzhmpSIzQuTgq94sKaknojQ3hBCZ53lsbTmLGC+twz+d7cMuHO3Ht21tt+5766bCEkUkvOtA+6WjTiVKJIiHyDgoBWDQ5BQBbrxER+bIAtRKhAfZruGcNicPGEyWoqDNIFBURERGRd5E08eaHvWeQsmQ50peuwrmqRof9l49OkCAqIuk0lypvvdKZvFdIU17goTNV0gZCkqnTmzAlc63TfelLV6FWb/JwRP4hJECNTQ9dYDd25RtbUMd/byKfcKq0DiOeWI2UJcsx8NGV+HHf2W6fY0JKJG6akuL64DzgzQ0nbY9DAry+QCn5oGUrj+J0WT2yzlajqLoRFgswOikccaFaXO/nlTmrDI6rvctq9RJEQuQd/r0uG6/+dgIAMLRvqMTREBGRO90/O81ue82RIjz6/SH8qU0LKiIiIiJ/JemdXKGTCtV6E5MPyL9Ymio4KDp7cZBXqG3q/tA3nKvR/ZVOo8Ti6QPw/uZTTsvuLltxBE9fNlyCyHxfUqQOGSP7YPmBc7axNUeKcBmTdolk71xVA2p6kUj3xe2TMDk1qvMDvdS+/Erb44uGxEkYCfm7tX+dKXUIXqdPkOPapahgtp0l/zUwNsT2OJqvBSIin5a58qjz8atGeDgSIiIiIu8kaeLNZaMT7CbIrnt7G7bmlNm2b/5gB3LL6nHdhCTEhwYiSKvE9LQYpMWFODsdkey11y+XvFPz9ysmmIk3/koQBDwyfwgemT8EAPDRllw88b+WFgyfbc/DZ9vzMC5OiZkzJQrShxVX21fL+8uX+xAVpMXUQdESRURErmAy9+x6KESrwsGn5ro4Gs+7dnwSvtyZjycvGSp1KETURqDKcYHEmqwizBrKJDnyT83Johemx0ocCRERuVvrRdLXjEvE838cJWE0RERE5E9K80vxzoMfSx1GpyRtNdXWx7dOwMMXp9u2c8vqAQBf7MjHy2uO49nlRzDn5Y1ShUfkdhbROtGkUXrVS5Pa0di0GD8lWidtIOQ1Fk1JwfFnL3YY31VkxrHCGgki8m2f3DrRYcxgNksQCRG5iiiKuPWjnd16zqjEMNw0JQUr/jLNTVF51rCmVh1P/pQlcSRE5MwrC0bbbVfUGySKhEhaBrOInJJaAECAmvcwiIj8SWpMsNQhEBEREXkdSSvetKVWKnD+wI5XqceFsnQt+a68pmSz/+7Kl3WLBH9RqbcmSp0qrZM4EvImGpUCN01JwYdbcu3G577Ss8TR9PgQrLpvugsi8x3PrzqKN9afdLrvlg934aNbJmBGWoyHoyKinsorq8f0F9b1+Pn7C6qwv6DK9nt328MXIT5MvtXo5g6Lx9IfrdXTUpYsx1eLJ2HiAF4XkueM7ReB3acrpA7Da/1zlX2bhTlD4yWKhEhaXx8zYE1eEQCgvI4JaERE/mTZyqNYtvIoNv/9AiRGcEEiEREREeBliTcAMDwhDLmZGVhx8Bz+9Nkeh/1F1XoMenQFkiJ0UCgEKAUBafEhWJoxBLGh8r3BTgRYJ+wBoF9UkMSRUFc0VyhihzBqa8nF6YjQaaBWCThT0YDPtuf1+FxMwnM0MjG8w/1ltXoPRUJErhCgcd0q+WmDohGuU7vsfFJo+56mb3igRJGQv9JplACAlQfPYWxKBGJD+D67WUm9Beeq7FtdnqtuQJjMf+8Q9cScFDXW5FnLwC4YnyRxNERE5G6PzE/HcyvsE5AFwbENJxEREZG/8rrEm2bzR/RBbmaGbftsZQOmZK4FABjNInJaVZg4VlSDUYlhuG3aAI/HSeRKwVrrS/KiIeyPLgeJIdaJwrBA3mgnewFqJf4ya5Bte2ZYKW7/pd7psWGBaqTGBOHdReMRGaTxVIiyNm94vO0awWwRkfrICrv9D3y9H1eMSeANICKZiA0JQG5mBr7bU4AHvt7f7ef/6+pR+OPYRDdEJr1v75qCpEiuICXP2nSiFABwV6uFMKwmZ2W0OI6lx4d6PhAiLxCiabnWDtbyPTERka9bPD3VLvHm9YVjkMBFAkREREQ2Xpt401bf8EDkZmbAYhExeOlKGM32JSZSY9lXlOSPhVPkpaTe+h3j1D51Rq1w/ClJiwvGL/fPkCAa32FxknQDAH+bO1iCaIiotwLVyh4976//3Y+//teasPPtXVMwtl+EK8OS1LC+nNAn97FYRLy9KQe7T1fAZLZgb34lKuuNTo9d9P4Ou4Ux/qpvsAJ3zkjFmxtaWl6W1uoRHcyW2OR/BAAROjUq6o04Xcb2y0RE/uaez/fi/c2n8NUdk6FWuq6KKREREZFcyeqKyGCy4M5Pdzsk3QDA571o40HkLUxOfrbJex0pNwMARiSGSRwJeaPqRiP+uysfKUuW46ZVjjeijxfVShCVf7j7goGsdkMkQzMH977i37acMhdEQuQfsktqkbnyKH7NKsK6YyXtJt0AQGJEIA4WVOFEUQ0q6w0ejNL7tE66AYBxz65BcXVjO0cT+S4RwEVD4gAAeeXOq3sSEZFvuX9Wmt32nrxKFFbxOoiIiIgIkFHFGwAQIeKXrCKn+37NKsLCd7YhY2QfWERAFEWIImARRYQEqHHFmAQonVQcIPImGpU1F84iMgFHDmIDrd+vslq9xJGQt5n+/Lp2bz6HBKgQFqjGBzeN93BUvmdvfqXUIRCRCy16f0evnh8drIFWpcB7m08hNkSLP4zsI8skvEaj2fY4oIdVgIi6Ii0uBP+753ycrWxEo9GMpT8eQk2jCRqVAiqFgHpDy89iQUUDLnl9s8M59k0wIFzHVplmvn8jP5RXbcE3uwsAAB9vPY2qBiNevHoUVKx6QETks7JLHBeRzX91E4YlhOKtG8YhLJCtB4mIiMh/ySrxRqtS4svFk3Dt29uc7t9ysgxbTjpf5XroTBWevHSYO8Mj6rWaRusqU963lYdao/UbxckGanaqtA6Xvb4Z1Y0mp/uH9gnFywtGY3B8iIcj8027T5fbbd85IxVLLk6XKBoi6q0/XzQI9321Dw0GE+paTfh3VWmtAc8uP2Lb1qoUmDMs3pUhekTrxQKFVY2IDwuQMBrydSMTwzEy0fr48jEJAIDs4lrMemlDp88N1Qh+11bAIorQaZR2SUmf3joRfcICJYyKSBqDI5VY99eZuPmDHcgtq8eP+87ir3MGIylSJ3VoRETkJq8uGI2f9p+1G6vRm7Atpxwv/nIMT182XKLIiIiIiKQnq8QbAJg0IMqut/zO3HJc/ebWTp/34ZZcJt6Q18svbwAAVmeSibwaCwAgmTcWqcnOU+XtJt0AQNa5asx9ZSMA4K0bxmKuDCeEvUVeWT2eW3HUbuzQmSqJoiGi3lh58Bzu+myPS8/5WMYQzGpqfyE3ra8C1x0rxnUTkiWLhfzL1pNluO4d54tcpg6Mxts3joVO03ILYf369QjSyu6WQq+IIuySbgCg3M9bb5F/6x8dZNcOPiTAv34nEBH5i0ajGRe/ugmnSh1bqTf7eOtpJt4QERGRX5P9O+LxKZHY9NAFmPb8Oqf7F03uB6VCgUtH9/VwZETdlxRpXSnJm1XyEB1onRpjGVVqds34JFw9LhEGswUGkwVGs4ixz/7qtIrVphMlUAgCLhgcw3LsPXCmssFh7JNbJ0gQCRH1lrPXc29cOz4Jt00b4NJzepLJ0vJH45pxSRJGQv6msoMEks3ZpbCwKieMFsexif0jPR8IkRe5ZFRfvLnhJABWgyUi8lVGs8Uh6eatG8YiIbyl6l9yFBcmEhERkX/zidl9nUbZ7r57LhyEmBCtB6MhIn/RXJio3mD2u9W+1D5BEKBVKaFVKVFZb8DguBAcLaxxOO7TbXn4dFse7pg+AA/PHyJBpPI2LCHUYaz/wyuQ89x8KFg1jEhWbps2wC5RJmXJ8m6f4+NbJmB6Wowrw5JMWV1L8sOaI0WsjkYeMzIpvMP9ger233f7C2e3HracLMUVYxI9HwyRF3h3U44t6YaIiHxXSIAaD8xOw0u/HreNzR4Sx/svRERERK34xBL75rYdzmhUPvElEpEXig60/n7paHUw+a8GgxkL39nuNOmm2ZjkcCyeLt+qDFIKDVDjsQzHhKW88noJoiEiV3j51+M9SroBgBvf34G8Mt94/RdWNdoeX5geK2Ek5G/6hgV0uP+mD3a4vEKVL8gr478J+a/s4lrb439dPUrCSIiIyN1GJobZbTPphoiIiMierEo0iKIIvcnS9L8ZBpMFOSV1KK11Pun9t7mDEcIqFCQj5qb67XqTkxrm5HXKG63fp1C2miInlq08gqxz1R0eszevErd/vAvNnRtEEdbHomgbs4giRiaG44lLhkKr4kpzi0XEa2tP4Nesov/P3n1Ht1GlbQB/RpJ773bixCVOL47TeyM9AUIoSwm9w34ssMAGSNgFAmQpu0Do7NLLUnYhQAqQ4vRenF4c24kTJy5x3Kuk+f6QLVuW3CXdGen5ncNh5mpGfuIijWbeeS+ymxTZLJzVB/HhfoKSEVFnjUoMwxtrT3Z4/5KqWjumESe3pKHw5pr3tuEf1yWjR4S/wETkqraeKsDzvxyFBECSYHNqzMY2nSzA2KXroJGADY9PdkpGpdFIEtb9eSKmvLbBPBYZyA675L6WXj0I2zMuIutiBTLyy1rfgYiIVKumyfnqXw7kYO6gLoLSEBERESmPqqpSEp5c2a7tX/n1OK4c3AWxIZxflNThcI7pIv3J3DL0igoQnIZaU1pX88f7O8iWn9Jy2rTd3jNFrW5z6FwJbhzRHQO6BrW6rau7WF6D19fYvjB/JKcEeSVViAxs+Y59IlKm0T3C8Py8AVj846EO7T932WZ8dfdIjOkRbudkztV4qqm07CL8b+9ZPD6jj8BE5Kqe/uEQMgvK272fUQbGv7zetLJ6BX7+4zgMjHWfY5QPN2VYrK89mosbRnQXlIZIvBn9o/H+xgycvcTuT0REruxfmzMt1h/9No2FN0RERESNqKrwpi3evWkIgnw9oDfIiA3xYdENqUq/mEAAwODuwYKTUFsEeZpKbrw82IWErC2dPwj3fbGnTdv2ivLHS/MHATDdcW6681wy34Ee6ufJ97M6EQFe2PnUZThfXIXThRV46Ot95sd+SstBZa0BH94yTGBCIuqMjhbd1Cur0tspiTi9Ihu626x/bBLiQvn6T46x6k/jccu/d2JnVmGnnsfH072md246reW1w7oJSkKkDBU1BgBAEDvBEhG5tBfmDcC0f240r392xwiBaYiIiIiUR1WFN1lL58BglLEj4yLe25iBjSfyrba5/8u9yFo6R0A6os4z1vV310rsoaIG9T+mWgOnBiNLeoMREQFeCPf3QkFZdavbn8gtw9C4ECckcw2Rgd6IDPTG//aetXrs3gmJAhIRUWccOleMucs22+W5dFr1H0Odym/oQJLA6fPIgbw9tB0uuhmbFIbLIspxx5WX2TmVslXqZWxJv2gx5sMifHJz9Z93Pt9+Gs/PGyA4DREROcq172+zWB+VGCYoCREREZEyqarwBgB6PGU93ZRGMrW7BoBHpvZyciIi+zHUFd5o1H/NyC1crDTC11OLMD9P0VFIYf6++hg+3JRpNb75L5MRGeANnUaChn/oHXahuAqjXlprNb7/mWkI9uXfI5HaGOoP5DsgOTYI39w7Gt4udOE73J+vY+Q8tm5akWUZtQYZvRatshj31GlQozcVnG9Jv4gt6UBinzxM6h3plKxKYKu5z4ReEc4PQqQgD0xKwqpDFwAAFTV6+Hqq7lQjERG1QVFFrXl57qAYgUmIiIiIlEk1n4Z3ZxXimve22XzMKAOjE8PwyrWDOBUHqVr9hSctL8irQrUB8PPSQWKHIrdQWlWLc0WVpqIZSYJWI0GWTZ2qjLIMg9H0N2wwyugdHWi1P7ux2c+6Y3lWY/z+EqlXcrdg/PbIBExv1La8rdLOFuOvyw/j79cMckAyMTSNjivySqsQGeAtMA25I0mS4KmTbL63VusNKK3SIy27CHd+uhu3fbzLrd6DbX1OK66s5RQ75La2pBfgpn/tMK9fqqhl4Q0RkRtYerXrfP4iIiIispdWPw1LknQPgHsAICoqCqmpqe36AmVlZe3ep6nyWhkPrq1ocZttGRcx7u/rAQDvT/WFl86xF8Lt8e+yt5Z+ViLyivoeKfFn01RzP6vjWaY7B7Zt3Qp/T9ct5lDDz6heS39XRkMtyir1Qv8tSvheKiED0Pn3q9bctrq89Y1a2v+tX3Frf0+XKdQqKyvr8L7N/aza8rt0MF+P1/ZYT9/1/ap1CPexcRt6Oynh91kJGRpT2vFFeyg9H2DfjE1/Vmr499fbcq629Y2a8c3ubHyzO7vZx/uGavDIUG94KmgaqpZeB9ekp5m3G/HCWrw20Qdhdnh9a43I3xcl/642/llFREQoIqcivl+NOlW99NUajO4i/kK7o48FgfrjH8vXkqXfpGJGvOMLb0T/3B35fqWmYwtA+Rmd+bMqPnbAvL5krA9O7t+Bk3b5yh2nxJ+PMzK19hqoxO9LY0rPB/B1sJ7S8wHO+1l1lhq+l/V+OVVjsb57m32mCrantvysOvo9P1tq6vp4+PBh+F483q59eY3EmppfAwHlZ+T7VQOlZ+TPqgEzkqto9eyYLMsfAPgAAIYNGyZPmjSpXV8gNTUV7d2nqbs+3Q2g5cKbxiZMmAAfT8e2m7fHv8veWvpZicgr6nukxJ9NU839rA6vTweOHcfoMWMQ5u8lMKFjqeFnVK+lv6s39q5GqL+n0H+LEr6XSsgAdP79qjWvB53DO6npMBhl6I2yudtN4//LqP8/kF9qWRySelaP1LN6LJzVB/dN7GHXbCJ05iCzuZ9VW36Xdqw+BuCUxdiEXhG4ZtaIDudpTAm/z0rI0JjSji/aQ+n5APtmbPqz8vf3V/y/v94kAE8D2HfmEq56Z6tdn/tooRFDRyrr2Kql18HbZgzGj+lbAAB3j0/AvBl9ndINUeTfi5L/Vhv/rHr37m3344uOEPX9qqo14IEv91p1nnv/QDWevHGq0/M05ehjQcD0vffQVqDW0FB49PD88YgKdHxnKtF/J458v1LTsQWg/IzO/FlFxw8CNpu6U48YMRy9ogLs8nU7Q4k/H2dkau01UInfl8aUng/g62A9pecDnPez6iw1fC/r/XBhH4Ac8/qIMeMU1+GsLT+rjn7Pj18oBbZsRP/+/TFpYPum2eI1Emtqfg0ElJ+R71cNlJ6RP6sGzEiuQllHR814af5ArHkh1+ZjnjoNJAD1DQS+vXe0w4tuiBzF28P0u+sqHTFcXXmtzLbybmReSlfMS+na7v3iF66wWOdMcp0T4G196PL2jSkCkhCRPZ0rqsTYpes6/Twf3zYck/tE2iGROEa54YL+U7P78riQFKGwvAZDnv/d5mNPz+7r5DRiPXN5fyz+8ZB5/cWVR/HG9TwWIfc0NC7EvMzPOUREruvJWX2xfH9D4c2LK49iybyBAhMRERERKY8qCm8iArzw68MTMOP1jVaPHX52Bjy0jm+9TuQMHnVTIBgatW4n5erip0FaYaXoGKRgsmz9t/ziymN4ceUxfHX3SIzpES4glbrdP7EHXl5t2dZ335kiTOgVISgREdnD+iYdNNrq5AuzXO6zQHZhQ6fPWoMMTwdPoUtky7ZTF3HDh9tb3S5r6RwnpFGW4grLqRaW789h4Q25LUmSEOitQ0mVHjY++hARkYuICrTsHnr1kFhBSYiIiIiUSzVnqZ/9+bDN8Y+3ZDo5CZHj6DSmP8lag1FwEmqLSr2Msmq96BikYC+sONrsYx9szHBiEtdxPLfUamxkYqiAJERkT0mR/u3eZ8Go7i5XdAMAybHB5uXKWoPAJOSuyqv1bSq6AYB7Ptvt4DTKM3NAtNVYel6ZgCRE4smyjJIq02fiaf/ciPPFvDGFiMgVNZ5mEwBignwEJSEiIiJSLlV0vAGA7qG+2HrqotV4fecAADj63ExOM0WqVqM3XVypn3KKlM3HQ4LeKMNglKFlX21qorxaj39tbr44dHg8i0U64kB2sdWYl46vmURq9+WOM+3e54vtZ/DF9jOY0icSH9023AGpxDh2oaHAkFNakgi5JVVt3nZYfEjrG7mYuz61LjbamVnYoQJCIleSFOmPMD+v1jckIiLV0TU57xkd5C0oCREREZFjSJI0pKXHZVne29pzqKbwZunVg/DkrL5YtPwQfk7LsblNRY2ehTfkEljCoQ7ltTKCfDxYdEM2Nddp/fkr++PGkXH8vemgfdlFFuuPTO0lKAkR2cOxCyWY+fqmTj2Hj4sVLHcL5d2jJFZihD+yls7B8v3n8Kf/7G92u7em+GLuhB5OTKYMD0xOwhPfH7AYm9E/SlAaIrEkSUJMkDfOF1fh3ZuGwFPnep3oiIgIOJTTcBOUj2quKBERERG1y2stPCYDmNLaE6jqMCnI1wPLbkjBnIHRuO8Ly6KiD28ZhjB/3llDRM6jNwIV1ZwCgmzz99Jh68IpGLN0ncX44uWHsXj5YXx4yzBM68eLNO01MiEUX+9s6Izxp6k9BaYhos6y1cWqvWpcbIrOqlrX+veQuvyUloOHvt7Xpm29VHU2wX6GdLfu8sNzEeSu8kqqcL7Y1CWroKwGPfnxhojI5ZRW1eKKt7aY1yv1AsMQEREROYgsy5M7+xyqPFX2+5E8q7Fnlh/iBUwicipPDRDgrcqXUXKC8mq9VdFNY3d/1jBNQbCvB/Y/M90ZsVQvsMmtVde9vw0f3DwUwb6eghIRUWdcN7wbrhveDXPe3ITDOSUdeo4/DOtm51Ri7Ttzyby8fP85XDm4q8A05KqufHsL0pp0kWuvr4/WYFqr9/q4nuzCCqsxWZYhSexmSO7n96O55uXSqlqBSYiIyFG0GglRgV7ILak2j1XrDZz2m4iIiFyKJEnzW3pcluX/tfYcquwB+9TsPlZjnGqCiJyt1gh4aFX5MkpO4NuOqQ9vH5PgwCSuZUyPcIv1nZmF2HiyQFAaIrKX60d0b/c+N47sjqylczDVxYrvG99MMDIhTGAScmXXDOlcQdecQTG4IsnDTmnUpXd0gMX68gfHsuiG3NYNwxvev3dlFQpMQkREjuLrqcPKh8ZbjP2Sdl5QGiIiIiKHubzRfx80WZ/blidQZauGMH8v3D0+AR9uyjSPPfHfAzhfXMUpJ0jVjLLp/wZZFhuE2kQvA/7seEPNkCQJ/7plGF759TiO55aax6f0icRd4xIwJim8hb2pOV4662K3ywfFCEhCRPaybO1JvPb7iXbtM2dgDB520eP+3VkNHW8iAzh9DdmXLMv4bvdZbM8oxJy698/6khFJkiDB9FlkxYGWL6b847pkbNu8ybFhFapLsA8entoTr685CQB4YeVRfHvvaMGpiMQor2mYb+SJmdY3yRERkWv47UiuxfpVKezKSURERK5FluXb65clSdrXeL2tVHvFOMLGSeh/rjkBgyzj0WnsfkPqdCinGIBpippwf15oUbqiKhmXaqpExyAFm9ovCisOnrcovFl3LA/rjuUha+kcgem9QD0AACAASURBVMnUa947W63GeJc5kbocOleMucs2t2ufSb0jMDmsFFMnjEGYnye8Pdyjrfnx3FL0jQkUHYNcSGm1Hk/890CH979hRDe8NH+QHROpT2WNwVx0A5i67xG5qxN1n3Nm9o9mN1giIhd24KzlFKWJT61EkI8HfvrjWMSF+QlKRUREROQwHeqQodpPxX5etmuG3lx70uY4kRoMjQsBwOmL1KJrgITSaj1kdiiiFuSW2C7O+nLHaScnUbeDZ4sRv3AF0rItT/YsmTdAUCIi6qj0vLJ275N6PB9Ld1aha7CPyxfdDKk7HgRg9ZpH1FmB3h74/ZEJWHZDCpbdkIJg3/ZNF/X1zmzsdvPpZLw9LD+rPTGzt6AkROIN6R6C56/sj6VXDxQdhYiIHOjJ2X2txoora3Eit/2f7YiIiIhclWo73tw0Mg5/GNYNSU+vshj/2+X9BCUi6jydxtS1odZgFJyE2kJX12VDlgE23KDmfHrHCPRs8l4FAF2CfASkUa8gH9sXBjMLyp2chIg6a15KV8yra01eXFGL5Od+a9N+lXogfuEKq/HECD+s+/Mke0YUqnHBZkI47x4l++sZFYCeUQEATNOm3v7xrnbtf9dnu7H/memOiKYKkiRhaFwI9pw2TQv38urjeGBSkuBURGLszy7C4uWH8a/Nmdjw+GTRcYiIyEFu/WinxfqGxyehW4gvNBqeECUiIiLXIEnSz2jodJMoSdJPjR+XZfmK1p5DtW014heusCq6AYC//XxEQBoi+5Bg+rCiYRWHKuiNstUdr0SNVesNmPH6RouxbqE+yFo6B5P7RApKpU7dw3yx6Qnrk/kPT+0pIA0R2cvZogrM7B+NUD/PDj/H5YO62DGReF/tOGNeHpkYJjAJuYPJvSOx5tEJ7drntWuTHZRGHWRZNhfdAOAUweTWvttzFgBw+mIFO8ESEbmw28bEW6xPfCUV/9mVLSYMERERkWO8CuC1uv+ubLRc/1+rVNnx5tfDF5p97NjzM52YhMi+9EbTiSpONaUOBtnUtYR3d1Bz9AYZGfmWHVlevIpt2DuqW6iv1ViAd/umyCAiZZnz5uY2b6uVgFMvzXFgGmW4e3wifkrLER2D3EhSZACylpr+trILK3CuqBI1eiPKqvX4cFMG9p2xnPLszk9347v7RouIqggXmkwjWlBWLSgJkXh/mdnHXDC6PaMQo3uwYJSIyBXNGRiDP/1nv8XYvzdn4MaR3QUlIiIiIrIvWZY3dPY5VFV4YzTKOHiuGPd+vqfZbfacvoSxSeFOTEVkPzV6AwDAU8fCGzWo1Df0HCOyxc/L+m325n/vtLGlpQcn9wBgKsa7c1wCIgO87Z7NVcQvXIFFc/rirvGJoqMQUQf8+OBYzHt7S5u2NciWU02t/fNE9Ijwd1Q0YarqjgcB4PU1J/Dw1F4C05A7+P1ILu7+bHe79skpqkSQg/IoXdOiagBIzytFUmSAgDREYgX5eOC2MfH4ZGsWHv8+DZv/MkV0JCIicoCL5TUW66v+NB59YwIFpSEiIiJSJsUV3hiMMno8tbLd+/WJDkDfmEAM6R7igFRERNZKa2REh7O1PDWvRm/s0H5vrz9lXj6SU4LP7xxpr0iqt+7PEzHlNcvC4yUrjrLwhkilBncLxps3pOChr/e1e9/LXtuA1McmIT7czwHJxCmqqDUvv77mJO6b2APeHlqBicjVRQS073i2vjtOaupJR8RRvAQbrzksuiF3lV1YgU+2ZgEArkh2rakfiYioQWST48VZb2wyHxMSERERkYniCm/0xrZfpHz3piEY0yMcQb6cZoJcgySZpizi3OjqYJA5zQ217NaPLLvbLJrTFxU1BlTrDZAgQSMBkCTUT1amkSRIElA3DI1Gwg3D2ba3scQIfxx9bib6PrPaYvyHfWdxVUqsoFRE1BlXJHdBtxAfzH93K9p7CHShpMrlCm/6dWm4c3TlQ+NZdEMON7hbMNJfmIWPt2ShsKLhbmZZBmTI5mOWd1JP1Y3L5s8t7ujz7aetxn5Oy8HlLDogN3ToXLF5+ZFp7NBGROSqmh77LRjFc1VERERETSmu8MZLp0XW0jmQZRlVtUacK6rEA1/uQf8uQfhh3zmLbe//ci8AYO6gGLx5fQo0Gvc9+Ueuof4zDMtu1MFglKHj6w61wNDkCvKSFUfx8NSeeHxGH0GJXIOPp/VF6FGJYQKSEJG9eGg17S66AYDNJwtc7u/fv9E0hUmRrjeVFimTTqvB3RNa7h5XX3hzKr/crX83rx/eDe+mnrIY69+FUy2Qe5o1MAa+nlpU1Bg69D5ORETqtGhOP9ERiIiIiBRHIzpAcyRJgo+nFkmR/nj/5mFWRTeN/XLgPLZnXnRiOiLHqC/h4Akrdag2iE5ASvf5nSMQ7m/Zjvf1NSeRnlcqKJHr2naKxwFEapYU6Y+5g2Lavd9b69MRv3AF4heuwC8HchyQzPk8tQ0f0VYePC8wCZFtlTXufRDceDq4ejFBPgKSEIk3/uV1qKh7TdiWweNxIiJXVVGjt1jvs3g1ag0dm16diIiIyFUptvCmsS7B3uga3PKJrD7RvMOMXIAbt2xXI28dUFqlb31DclteOi2+vXeU1fiHGzMFpHEdtqbjG98zQkASIuqsnZmFeOL7NDz782H8cqBzRSbBPp52SiVWTnGleZmFN6QUW9ILzMuXv7UZJ3Ldt4j4fKO/0XrtmTKbyJXcNibBvFxezc/GRESuyltn3XmYZ7GJiIiILCluqilbvHRabFk4BbIs4797z+Gx79Ksthny/O8ATC2eDUYZIxNCsWhuP3hoVVFbRATA9sVkUq4gLwn5pdWiY5DCJUb4w0MD1Da6HvPA5B7iAqlcXkkVRry41mo8s6AcEQFeNvYgIiW77v1tndr/wck9XG76vkvlNebl9xYMFZiE3F1uSRXu/HQXDp0rsXps+j834pOZfgJSiTc0LtRqLMDbQ0ASIvHuHJeArekFWHssDzFB3qLjEBGRg6xodEOABCBz6RxxYYiIiIgUSlVVKZIk4Zqhsdj+5GXNbnM4pwTHLpTi022nkV1Y4cR0RJ2n05j+JI0swFGFEC8NynhXH7Xit8MXLIpuACAuzD0vVNlD9iXru8yvHNwFIxKsL4IRkfJtemIyls4fiKRI/zbvE+bnieeu7I99i6fhsem9HZhODF2jGwc0Gt5HSmKcK6rEyBfX2iy6qZdX4Z5dXiICvHD72HiLsbySKjFhiASTZRlrj+UBAG98IyJyYf/39T7zMhu2ExEREdmmyk/F0UHeOPnCLAyLC2lxO0+dKv955MZksOBGTTQS28pT645dsJ6KobiiFjV6/u50xNAm7/3zh3TFG9enCEpDRJ3VLdQXk3pHIj2vrM37XCyvwTPLDyOvtBqSC571jQ/zNS8bjTw2JDHC/Fqeuu3xGb0R7uN6f39tUa034OMtWRZj+7OLxIQhUpB+MZwCnojIHUT7uucxIBEREVFrVFuZsiuzELtPX2pxGzYNIbXixxd1MMiA1gUv+JH9VNUa8O3ubKvx5Od+Q69Fq3C+2Lp7C7Ws6ZR8/9t7TlASIrKXGa9v7NB+a47m2jmJMvh7NcwGzMMMEsXbQ4u0Z6Y3+/jHWzJRbXBiIAXx0mmtxpK7BQtIQiSeJEkIqHvf+nhrltgwRETkMDP6R5mXc8plq3MzRERERKTSwhujUcbPB3Ja3OaqlK7oFurb4jZESlNb1wFDxxbNqlBSI8O30cUxoqaKKmpx1sbUSAAwb3AXhPt7OTmR+lXUuOlVPiIX9c/fT6C4srbd+90zIRELRsY5IJF4RY2+H2x4QyIFeOtw5LkZiAnytnqsoKwG96+pcNuuTB5ay6o4Hp+QO7tmWCwAICGc5+CIiFzV/03pabHe3LkuIiIiInemyivGZy9V4uud1h0EAGB6vyh0D/XFQ1N72nycSMkMdeetNby7WRX0Rhn+Pqp8GSUniQ7yxh8nJ+Gt9ekW47MHRuN1To/UIXuadLvrGekvKAkR2cMX20+3e59lN6Tg8uQuDkijDI2n+Dl6vgQDugYJTEPupqrWgPu/2IP1x/PbtH1hRY1bFhLXGiwLjrrzph9yYyMTwvDxliz8sC8HU/pEtb4DERGpzmPfpZmXkyO0vOGZiIiIyAZVXjHuHuaLhbP64Ie953A8t9Tisd+O5OLVa5MR6O0hKB1Rx3nqTJ1uymsMCObnF8Xz0UnYl12EWoMRHuxSRDaUV+utim4AU/HIVzvOYGDXIAyM5QXV1hiMMr7eeQbFlbX47Yjl1DK9owMEpSKijtp26iIyC8phlGVcLK9p9/4DXbwQRd+og0jfmECBSchVrDp4HscumD43ywAgy5DRMDWzDBmyDBhkGReKq9pcdDM8WotQX8/WN3QDa47mYkb/aNExiISIr+t004fH5URELmtUYpj5eDItn53+iIiIiGxRZeHN1vQCLF11rNnHJ/WOcGIaIvtJyy4CAKw7loebR7nm9AmuZF+e6YPmLwdycFVKrOA0pEReOg0Swv2QWVBuMZ5bUo2nfjgIANj/zDQE86JVi77bnY1FPx6y+dgvB87jlwMrcGLJLHPxIhEpV3peKW74cHuH9+8bE4j4cD87JlKegrJq8/IvB3Jw5eCuAtOQ2h27UIL7v9zrkOfedcGAB77ci/duHuqQ51eTHhHswEfu64UVRwEAPh5awUmIiMhRHpnWC59szTKvV9Ua4M3XfSIiok7x9EpCXOLPomMo1nkEi47QbqosvGmtlWEl51cnlSqprAUADI8PEZyE2qJbgAbZpUbMHhgjOgoplE6rwavXJuPqd7fafPytG1NYdNMG1wyNRXmNAfml1Xhvwymb22g5Rx+RKvSI8MdL8wciLbsIkiRBIwH7s4twOKekTfsfPV+C+IUrMKFXBD67Y4SD04rRuHPnHB5jUCf1iQ7EWzem4ERuGerfKSUJkCDV/b9hTKORoJUkaDUSltRdSG/N6sMXHJJbbc5eqkASp78kN7XpZAEA07TwRETkmjaeaFtHRCIiImq7mup0nM64XHQMsiPVFd6cuViBOW9uavbxy5O7ICrQ24mJiOxnaFwIfjuSi5hAH9FRqA2CvCT4+PrDS8c7PKh5L6+27NDmpdNgREIobhsTj8v6RglKpS46rQZ3jksAAAT7elh0vesTHYDVD08QFY2I2kmSJNwwojtWHbrQqZO3Y3qE2TGVsui0UqNldvKizps7qEu794kL88Pdn+1udbt7JyR2JJKqlVfrrcYe++4Adi+aKiANkXjXDo3Fd3vO4k9Te4qOQkREDvJ/X+8zLy8d78NuN0RERB0kSdI9AO4BAG2Al+A0ZG+qKLyp1hsw5LnfUd5KJ5trhpqmevnbz4dhNMpI6R6MeSldeVGcVKN+mhQZsuAk1BayLMPPSxUvo+RE64/nYcWB89BKEoyyjB2ZhRaPV+uN2HSywHxnaGt6Rflj5UPjefG1TkWTY4GJvTi9JJEaDeoa1KnCm292ZSPE1wN/GN7djqmUIbuwwrwcv3AFdj09FRH8IE6dcLGsGkOXrHHIc7+/MQPvb8wAACR3C0bf6AD87Yr+Ln0xxihbf1YbFseOpeS+vttzFgDgoWUHSiIiV/XV3SNx44c7AAALN1Wif3IxBsYGCU5FRESkPrIsfwDgAwDwjArgxWAX41JX8b7fcxbf7zmLr3acwX92ZeMv/z2I4Q46wUhEVKUHdJzehpq4/eNd+H7PWXyzO9t8ErozTuSWsRSvztJVx/Dm2pMWY5zqjUidHpvRGyeWzOrw/pkF5fjLfw/aMZFy7Dl9yWJdbzQKSkKuokrvnN+htOwi/GdXNvZnFznl64kS4O2BfjGBFmOT+7AQmOip/7nm+zIREQHD4kIt1k8XlgtKQkRERKRcqmjV4KXT4vBzM1FaVYuBf/utXfv+8w+DHZSKiNydUQY7apGVNY9OxO6sQixs4cTzvRMS8eTsvk5M5RpuGtkd7204ZTF25dtbAAAH/zYdAd4eImIRUQd56jTY9fRUDH+hfYXynloNrkrpivAAT7y17iQMRssOFFJdTWxK9xBVdsXqHd1wQX/NoxMRE8QpSKlzugb7IGvpnGYfP32xHGcvVUIC8MvB8/hqx5lOfT13KExfMCoOT/3QcKzHzwTkzpbMG4BFPx7Cj/tz8Pr1KaLjEBGRA8x/d4vF+oiE0Ga2JCIiInJfqii8qWcwtn7Pv6+nFstuSMGArkGICvR2Qioi+znTaGoBUgetG1xYoPZJivRHUqQ/JvSKwJil62xu8/7GDIzrGY7xPdV3QVikbqG+WDCqO77Ybn1BsLC8hoU3RCoUEeBlLgjYeqrA3L68JTUGI77Znd2m59+zaCrC/NU1TVOQT8NrWVFFjcAk5A6KK2ox8ZVUuz7nidwyDIt37Ysxz/582GJ948l8zEvpKigNkVifbcsyL+sNRk6RS0TkgmYNiMGhcyXm9REvrMWBv01HIM/DEBEREZmpqvAm2NcT/751GO78dHez21TUGDC6Rxh8PVX1TyMCAITXXRjy8eQdk2pghHvc0Usd49fkfahrsA/6xgTCKMtIDPfDyIQwQcnUS5Zlq6Kb9Bdm8eQ+kQvYlVXYpqIbW65K6Ypuob6QAIup+VK6B6uu6AYACsqqzctD40IEJiF3EOijw7NX9MeqQ+etHpNlYEdmYZuf6/EZvfHg5CR7xlOsyb0jsfrwBfP6NUNiBaYhEmtMj3CcyC3DP65L5nE5EZGLmj0wBq/8ety8fvf4BBgMMkqrankTFBERETmcsV84qr+9vWM7D7jDvmFaoPjqlI0n8vHsz4dxKr/t84b6eLBogYgcT4Ll1BZE9Xo8tdKqS9uGxyfxRHQnJTy50mL9umGx/J4SuYgVB6wv+rfVuKRwXD3UdS56l1XrzcuSxAJfcixJknDrmHjcOibe6rG5yza1+Xl6RwW4TdENAPz96kEWhTefbM3CmKRwgYmIxCir1uOTrVkAgC+2n8Z8FqEREbmk55p0+/twUyY+3JQJAPj0jhGqnOKXiIiIyN4UX3hzy0c727TdneMS8PiM3vBm0Q2pWP2Fei0vsqhCaY1sMR0EEQBkF1ZYFd28OdmXBSKdVFljsBq7UFJtY0siUqP6i3at8dJpMKFXBLx0Gjx0WU8khvu53OsrjwNJtMoaAz7fnoXyauv3XluemNkbd49PdHAqZfH2tHzd2ZJeICgJkVipx/PMy2rsMkdERG2TdrbY5viwuBAM6hrk5DREREREyqT4wpt/XJeMR79Na/bx5Q+ORXK3YCcmInIcbd20RQZZVv4fJ0GSAL2RHW/I0m0fWxeMPrS+Aj9d2G3ukPTCVQMQE+Tj7Giq5u1hfWF944l8HD1fgr4xgQISEZE9PPDlHqw8eKH1DetU6434/UguHp/RG72iAhyYTJxLFTXm5ezCCnQL9RWYhtzR62tO4P2NGW3e/p7xiS5XANeapgVyj83oLSgJkVihvp7m5bE9OJUuEZGr2vyXyej3zK9W49/fP0ZAGiIiIiJlUvzZsflDYrFgVHebj312xwgW3ZBLksA7ndXASwvoDSy8IUuF5TU2x9cczcW6Y3lYdywPb6496eRU6idJEl69NtlqnF2niNStPUU3jb3y63Es+vGgndMoQ3ijjgGNOwkQOcvDU3vh0Wm9MGdQjHnMS2d56uDTO0bgk5l+yFo6x+2KbgBY/ZvXHePfKrmnU/ll5uWbRsUJTEJERI60Jf2i1di8wV0EJCEiIiJSLsU31dAbjPhi+xmbj93y0U4MiwthZTW5DFlmEYeaVBtsd+Eg97Zn0TRU6Q1WdwK9em0ygn08oNVIGNczXFA6dbtmaCwe+66hC16XIG90CWbnICI12//MNJzKL8OydelIPZ7frn17u2jHm+6NOtws4EVMEsDHU4sFo+JwOKcY64/loaLGgGq90WKbW+unhF69AgCw7IYUXJ7sPhdfMhoVGwDAppOcaorc04z+0Vi8/DAATpVIROTK9p25ZLG+6k/j0SfaNT+PEREREXWU4q8Y67QafH/faDwwqYfNx3efvoT4hSsw7u/rMOW1VGw7ZV19TaQW9XU3PF+lDnojoNHwh0WWNBoJvp46vNakO8tj36Vhar8oTO4TCQ83vDPcHvQGy4t+3p5aQUmIyF6CfT0xNC4US+YNaPe+e05fan0jFSqr1puXJR4UkpOVV+txIrcUQ57/HTf/eycqagxt2u9CcZWDkymLhn+bRAAsi86aFugREZHruGdCosW6h1biZxUiIiKiJlRx5W9YfCiMrTQCOXupEhn55fjrT4ecE4rIAeo/r7DxjToYjDJ8PHjhn2y7emgs4sJ8W9+Q2uR8cSWSnl5lMZaRXy4oDRHZ272f72n3Pj/uz0FxZa0D0oiVV1otOgK5sf5//RXT/7mxTdveM8gLWUvnIGvpHNzd5GKMqzt2odRifUDXQEFJiMQyNjp54YrvyUREZOLZZNrRHhH+gpIQERERKZcqCm8AIDHcz2rs5lFxmNgrAtcMjcXqh8fjt0cm4Kc/jhOQjsg+6u8UkMHKGzXQaiToDfxZUfPmp8RarJ9qMi0Btd3+M0WiIxCRAx1vchG7rZKf/Q0fb8m0cxqxxiVxOkIS5+VrBqFnpD/6xgQiOTao2e1uGxOPMV0UP3O1w6w4eN5i/dC5EkFJiMS6dlg38/LvR3MFJiEiIkfy1lneeNjjqZWCkhAREREpl2rOlF03vBue+O8Bi7Etpwqw7s+TxAQiciB2vFEHby1QUdu29vvkfjILyvHPNScsxrqFsANOR8iyjEM5xVbjw+NDBKQhInu6WFaNuz7bDX1r7S1tCPDSIdjPA1P7RjkgmTiF5TXm5eKKWgT5eghMQ+7AYJTx5tqTeGPtSYzvGY7YEB8ALU91FuCtmlMJDnHt0Fj8nJZjMVZerYefl3t/X8j9yI1OXszsHy0wCREROZJGY3lcuGBUnKAkRERERMqlqrNCb96Qgoe+3mdez8gvx//2nsX0/tHw5wkucgH5dVMLFFXUIjqIUxgpXY3RdMGQyJYPN2VYjfVatMrGltaGdA/Gf+4ZbdXK192sPnQe932xt9nH3795mBPTEFFnnCuqxNil6+z2fEE+HpjWLwovzR8ID61rvVb6ejYcAyY/9xsAYPNfJiOWxZtuS28wYv67W3HgbKMi1NUrHPK1Np0saNN2y9alY9Eob0yU5RYLdFzVmcIKq7GD54oxKjFMQBoicU7kNnT0LCyvQUSAl8A0RETkKOXVeov1Kt6ISERERGRFVWepE8Ksp5t69Ns0DPjrrwLSENlfQV0RRyU/vKhCYZWMGr1RdAxSqM4UZe09UwS9kb9bh3NanrZhYZNOeESkXPXFxfZSXFmL7/ecxUebXWuaKcD2cWBxZa2AJKQURhmWRTcKsWR7ldtOM/DZtiyrMVvTYxO5usafh385kNPClkREpGbeHpY3iE7oFSEoCREREZFyqapNzMDYIJx6cbbNk3vxC1fgw1uGYVo/12o1T+4lMcIfAJDAk7aqoJWA4QmhomOQQvWLCcKvh3Nb3e7Y8zOtTmCQyZ+n98afp/cGYJoGY86bm3DsQqn58TB/T1HRiKidBncLRtbSOc0+/th3afh+z9l2P29UoHdnYinS8Uavc3+e1gv/d1lPgWlICTx1Gou/n9TUVEyaNMmhX1OWZcgykNhKYc3VQ2IdmkOpVjw0Hj2ftuxkGOrH4xJyPwNjgzC1bxTWHM3F9oyLouMQEZGD/JR2zmI91JfHPURERERNqabwxmiUWz3pF+rn4aQ0REREzauqNeDz7aebfTzQW4fJfSIxtW8Ui27aYEt6AW761w6r8RevGiggDRE5wi2j49pUeHNFchc8f+UABPm67nF/oHfDv83fWzUf18jFSJKEc0UN0ynZKpwzFQAlOzOWYtjq7LH3TBFGsCif3FC/LoFYczQXF8trREchIiIHmT0wBo98k2Zev7HuHM2YHmF4/+ahCPB23c9nRERERG2l+KmmjEYZmQXlmPRqarPbPHRZT2QtnYOhcTzJRUTOo5GAyhpOC0aWTuWXoc/i1eap42wpqdJj+f4c/N/X+xC/cAXu+GQX9AZOLdWcr3acsTn+9vp0JychIkeRILVpu5/ScpD83G/416YMl33djAjwMi8/+/MRnL5YLjANubNxf18PAPjDsG6CkyjP7IExVmOcEo7c1ZtrTwIA8krsO60kEREpx/pjeTbHt566iB/3c6pBIiIiIkDhhTcHzxYj8amVmPxqKs4UVjS73ZtrT6Kkiie5iMj5PHWKfhklJ6vWG/DYd2mtb9jEumN50BtlByRyDUvmDbA5vvdMkZOTEJGjDIwNQtbSORgUG9Sm7ZesOIqkp1chfuEKZOSXOTidcxlly/eDogp+ziHnyymqNC9/szsbB88WC0yjPF46646FkY2K5ojcRVm13rz8zb2jBCYhIiJH2nAi3+b4i1cNxIKR3Z2choiIiEiZFNm7vNZgxISX1+N8cVWbtr9vYg+LluxEanWprjVzrcEIDy0LOpSs1mCE3gj4cJogamT5/hzsa1IMMr1fFGZHlWDKxPHw0mngqdVAktrW2YFMQvw8kbV0DoY8/zsKG7WwXzy3n8BUROQISZH+ONDOC/zXvrcNN42KM/fMkQFAltEnJtBmVwqlO36h1Lx87PmZnJKQhNh8ssBi/fK3NuPdm4Zglgr/phzBYKNg+t7P92D7U5cJSEMkTm5Jw3m7HhH+ApMQEZEjXSyznE7wLzP7wN9bh3B/T0GJiIiIiJRHcYU3i388hM+3n27XPqN7hDkoDZFzdQ3xAQBU1BgQ5MPCGyXTG2TIAC+GEY5fKEV5jR4aScIT3x+wevy3I7n47QgwOWcfwv29oNNKkCTTpCqSBGjMy6ZLxg9P7YlgX564aExvMOLz7acRFehtUXjz2m/H8daNQwQmIyJ76x7q2+59LpbXmKe5aGrNoxOQFBnQLhSSaQAAIABJREFU2VhONbFXhHm5z+LVuHV0HP44pafFFFREbZGeV4ZPt2bBdNRqIsuAqWZERq1BhsEoo9ZghMEoQ2+UoTcYoTfKqLAxner9X+7F8SUzbXZ7cTe1Nqa6iw7yFpCESKz4MD/z8t2f7cbnd44UmIaIiBxlREIofjuSa17/++pj5uU3b0jBFcldRMQiIiIiUhRFFd68vT69zUU3/3tgDIZ0D3FwIiLn2nDc1LazutYA+LCLk5J5e5gKoypr9K1sSa5s7dFc3Pnp7jZtu/647ba8TX2yNQu/PTIBvaLUdaHYkXZlXcKzPx+xGv/lwHlU1e7Ga9clI4ivmUSqVFljwJ/+sw/bMi5CI0nQdKAh2OyB0UiK8IckSZABc2Fjn+hA1RXdAICmyTfh022nUVBeg7dZaEjtdP0H21FQVm3X57z/i7346Lbhdn1ONTp6vsRqrG9MoIAkRGJdqmgoit90sgBGo2z1PkZEROp3VUpXLFlx1OZjm07kY/aAaOjYvZ2IiIjcnKIKb1759XiLj49ICMUXd46Ep44HceSaUroHY1vGRUQG8m5JteCUQe5tdI8wzE/pioyCchhl013jBqNsXj6VX96h5/0lLQePTu9t57TqNbpHGD6+fTjOXarE62tOoKBRi+M1R3Nxz2e78c29owUmJKKOOnupwuLOyY5YefACAGDj45OhNxrRPdRX1Sd9ZdlyCpthcSFYOn+goDSkZiseGoeRL66163OuO5aH+IUrAABLxvrY9bnVZGdmodVYDDvekBuqrDEg0FuHkirTDSnniirRrQPd64iISNkW/u9gs499t+csnp7Tl92biYiIyO0ppvCmpU43/7guGfOHxDoxDZEY2ZcqRUegNqq/JqZh4Y1b8/XU4R9/GGzzMVmWkfDkSqvxX/5vHKKDvKGVJNM0U5qG6aYAwCDLCPBSzNuzYkzuHQkAGBQbhCve2mLxWL6d7+YnIufpGRWAo8/NRI3eCKNsmuqm1mDEmKXr2v1cE15ZDwAY3zNc1VNdVOsbprD58cGxGNwtWGAaUopqvQFXv7sVh87VdVpZvUJoni5B3gjxdt/jYK2Njh4bT+RjREIoRiaEsjif3MKlKiPGv7zeYoxFN0RErun3JjdL7Fs8DVqt6byWh1biVKREREREUEjhTXFFLRb/eMjmYx/dNgxT+kQ5ORGRGKsOngcAFJbXINSPdwkoWf296IYmd6UT1ZMkCRkvzkbiU5bFN3OXbW5xPz9PLQ4/N9OR0VTt6ne3Wo39cXKSgCREZC8+nlrotBJu/3gXNqcXdPr5Np0sQFWtARpJglYj2bxArmSNDy3mvb0F0/tF4YNbhokLRIpQozc2FN0I9vmdIzC+ZwRSU1NFRxGmR6S/1dju05dw/QfbeeMQuY0gL8v316hAL0FJiIjI0ab3i7LoVJry/O9YMKo7lsxjZ04iIiKieooovDlVUNbsY+H+/OBO7mPuoBj8uD8HPh68S0DpjHVXxar1BsFJSMmaFt20xaS6zi5k2+TekVbT0jz6bRovcBGp3JfbT9ul6KZen8Wrzcvbn7wM0SqaAia3pMpifVRimKAkpCQB3h7IWjoHAJCamopJkyZ16HkullVj3N/Xo7K248ewN/97pzmLu0qKsC686Rbqg3FJEZg1IEZAIiLn09TdaLBo+SF8teMMckvYhZKIyFX9ZVYfq3Mxgd4egtIQERERKZMiCm/OF1XZHJ87KAa9ogKcnIZInMS6E7geWnXdme2OPLQaBHgCZXVz2RO1xtdTiyPsZNNpH9wyDNV6A3ovWm0x/vGWTNw+NkFQKiLqrAWj4qDVaprtgtke9cdRsgzM6B+NED91nRAO9W/oerjm0YlIstFZg6ijwvy9cPT59h+PxC8UO7WV0tiaTue5KwZgch8WUJN70WgkPDO3H77acQYhvup6vyUiorb7bvdZq7GHp/YSkISIiIhIuRRReLNs3Umb43eNT4Q3O3+QG6mfWkCSWHijBh4aCUUVtaJjkEJVNbmTXG/ktGT24qnVYGKvCGw4kW8ee/bnIziSU4JFc/ohiCf9iVRHp9Xg5lFxkAB8tDkTMkzd5WQZOFNY0ebn2fbkFMQE+TgspzMEeDV8RHtz7Um8eUOKwDREwFM/HBQdQXFeWHHEauz2T3a5fScgck//3pwJALjEz8ZERC7riRm98d6GUxZjvRatwrs3DcGsgez2R0RERAQAGtEBAODYhVKb49WdaH9NpEYyTBfmNay7UYWiahkRAZwOj2z7OS3HYv3p2X0FJXE9kiThk9uHW41/t+csPtqSKSAREdnLglFxWPPoRLy3YCjG9wxvV9FN5kuzVV90A1gWYP/U5L2ESITRNqY7+2ize7/fllXbPldhZKE1uaHVhy6Yl/UGo8AkRETkKBqNhOHxIVbj93+5FzlFlQISERERESmP8I43sixDIwG2zk+NSAh1fiAigYzseKMqsgwEegt/GSUF+XBjBl5addTme9pffzqMW8fEOz2Tq6qqtT6p/9yV/XHTyDgBaYjInv7602F8vv10u/aZ2jfSZY6fml60zC+tZqEvCXV5chdEBXrjuve3mcdyS6uQqP46tw7LL622Ggvw0kHDOyjIDY3rGY6D54rhqdOgvMaAIB9F3ONHRER2tivrks3xgrJqdAl24wNDIiIicimSJM2SZXlVk7H7ZFl+r7V9hX8almVgcm/b86A/8s1+XCqvcXIiIoFkGTxVS6ReL6y0XXRT79OtWU7L4up2ZRVajX26NQtaXvAiUr1bx8SjZ6Q/YoK827zPmqN5+HZXtgNTOU/TqTr2nLZ9gpvIWfJLqy2KbgDAYHDvzi7h/p5WY6XVegFJiMTbdNI0/eviOX0R5MMpX4mIXNUfhnWzOX7FW1sQv3AF1h7NdXIiIiIiIodYLEnSlPoVSZKeAHBlW3YUXnij0Ui4MqWrzcd+3J+DlOd/R1EFi2/IPRhlwEVu1nYL7n25gWzJeHE2jjw3A9uenGLz8bfXpzs5kes5dK4YC/61A7d8tNPqMXaEIHINPSL80CcmEOeLq9q1X0G5dQcKNQrzs7ygP71flKAkRCbDX1hjNfb0HPeeQnN/dpHVmKdW+OkVIiEulZsKRhcvP4waPaeaIiJyRUajjKyL5S1uc/R8iZPSEBERETnUFQBelCRpvCRJLwAYCbUU3gCmi2gtCfTmHTPkHozseKM+rJSiRjQaCb6eOuxuof1uZY3Byalcy1M/HMTm9AKLsYm9IrBoTl+8feMQQamIyJ72nL6En9Ny2r3fy6uPY92xXMiyuktjS6osO95w6hoSbUZ/y+KvP13W02Wmduuom0ZZT21ZY2DBAbmneycmmpd1fM8iInJJvx6+gB2Z1p2H6/l76XD9iO5OTERERETkGLIsF8BUfPM2gC4ArpFluU1dYnSODNZWH2zMaPaxJfMG8GQzuQ1JYhcVIrXamVloNQ1DU0YZGP/yOozpEW5VsyXB9Pf/h2HdMCYp3GE51e6ru0dhwF9/tRj79I4RgtIQkSMUlHW82+Udn+zG/CFd8Y/rBtsxkXPlFFl2+olfuALf3jsaIxJCBSUiV3L0fAm+3HEaWkmCDNPUz3LdJxDTcoP6GrbQJl2Y3lh7Em+sPYkXx/k4J7QCDY4NFh2BSDEyC0wdEF69Npnn74iIXNSk3pEtPl5WrcewJaYuiasfHo8+0YHOiEVERERkN5IklcLy1JgngEQA10iSJMuy3OoBjiIKbwZ2DcLBZrreLPrxEN5YexI9I/3x9o1DEOJnPZc6kavQShKMsql9J09YKZvBaHrt5Y+J6jXtwtKcgrIa/NRCJ4fl+3OQtXSOvWK5HH8v60OXwvIaq4uCRKReR3Ja7obZmjvGJtgpiRh9YwKsxjILylh4Q3Zx1TtbUFVrn84shVXue8vAwNgg0RGIFMFglPHxliwAgJ+nVmwYIiJyGB9PLe6f1APvpp5qdduLnbiRgoiIiEgUWZatT8q2kyIKb5oruqmXX1qN/NJqHM4pwbie7AJArqtKb4ROwykF1KC2rpW8l44nF8nk0Wm9cN/ERPR75tcWt7tpZHcMj7e8eCo3KqIdkRDmkHyu4nxxpdVYebWehTdELuTR6b3x6PTeAIBT+WW47LUN7dp/7rLNAKDaIsamU/ikPTMdQb6cepfsY/1jk7DmSC70RtMUt5IkQZLQMN1to98/qW716R8OWTyHn6cWh5+bidTUVCelVqY7xibgoy2Z5vXrh3cTmIZIjNJG0yPO6B8tMAkRETmaraKbqX0j8a9bhwtIQ0REROQ4kiR1BRCHRrU0sixvbG0/4YU3xZW1rW7z/LwBmDUgGuH+Xk5IRCSOp1YDg31uQCUHq667U9hTpxGchJTE11NnvtB7IrcU0/9p/T5crTdiXkpXZ0dzGSsPXrAa89Dy75DIFZ29VNHuohtXxKIbsqeYIB/cPDq+Xfs0LbzZ+MRkOyZSL98m3T12ZBbiYlk1wnjegtzI9oxCAEBkgBdvICIicmEVNXqb43ePT3RyEiIiIiLHkiTp7wD+AOAIAEPdsAxA+YU3Uhs+ly/+8RC+3H4aqx+e4PhARAJ56TSQAegNRuh4IVnRqvWm11ovFt5QHVmW8U7qKbzy6/Fmt9n4+GR0DfFxYirX8/sRy8KbzJdmW3WHICLXcO6SdYertnhgUg9IEpBdWIFuob52TuV8sizzdY4UZeiSNZjSJxK3xItOItaArpZTe2cWlOOqd7ayMIncylvrTwIwTTlVVFGDYF92oSQicjWlVbWY+fomm48tXX0M8wZ3xS2j4/iZhYiIiFzFPAC9ZVmubu+OwgtvAr09MDIhFDsyC1vc7mI55wYl11dT1+6mvMaAIB8WdChZfYeNsmrbd3yQ+9mVdanFohsAmPDKegBAgLcOkGGeYEqWG082BciyafopudE29epPYzQ+n3HL6Hg8OauPy5/kWHHgvPmu2noJT67El3eNxNgkTkVJpBZHckpw3fvbYJQbXuEaXtukhvUOvqS9U9cC/e31pv/PGhCNdxcM7WBa8RKeXIm7xiVg0dx+oqOQCr2x5iQ+2HgKGo0EjSRBq5Fg2ZRCQsPRRtv/6NYdy8O6Y8B/EwoxNC609R1c0MwBMZjaNxJrjuaZx64bFiswEZFzldbIOHSuBIDpnN3g535nUTwRkQuqrDHgXJHtmyL2nSnCvjNFGNwtGMndgp2czPkOnitGkI8HfDy1SAz3Y8EpERGRa8oA4AFAfYU3APD4jN645r1tNh9LDPfDC1cNRHK3ICenInK+LekFAIDC8hoE+XBaASUL9vWAj840nRARAAyPD8GbN6TgzMVyc8FMbkkVvtxxxmrb0ir7Fmx9sDEDT8zoDZ3WtU9y/3PNCZvjn27NYuENkYr8fCDHqYWrqw5ZT1GnZLLctOQS+NfmTBbeUIc0995pL8/9chTLHxzr0K+hZBtO5FusJ0X6C0pC5HyXqqznyS6qqEWIHy9CEhG5kshAb/zwwBhc9c5W89j/TUlCl2AfGGUZ3UN9Xb7oJtBHB0kC3k09hXfrbvQYFBuEn/44TnAyIiIishdJkpbBdGmvAsB+SZLWolHxjSzLD7X2HIoovBkWH4rYEB+ctdFOPqOgHDd8uN28fsfYBIQHWH6It3Fu2qbqWgPySqtxVUpXjEwM61RmIkeIC/PD3jNFiAnyFh2FWiHLQKUeMBrb+AJEqmYwyvh4SyYKymqgkUzdZjSSVNeRwXTnuASpbhzQ1N1K3plppab0icSr1ybXfT3J/H/J9CVR99UhQ4aHVuPy09N9siUT6XllNh87U1jh5DRE1BlPzOiNP05OMq/Xv5NmFZRj7rLNHX7eW0bHIdzfCxIaXoc1koSuIT6qmq6puZyPfZeGZ6/oDz8vRXyEI5U4+cIsVNUaYJRNx60GWYbRKOPz7aexbF16p5//7vEJdkipXssfHIfZbzZMvcBjEnIn5bVAgJcOpY2KaVl0Q0Tkmpoe4+zIKMQj03phdA/3uMYSE+SDrQunIL+0GpU1Bry+5iTOF3dsamQiIiJSrN11/98D4KeOPIFiztpu/ssUGI0yfj6Qgz/9Z3+z2320JbPTX+s/u7KRtXROp5+HyN521k25VlBWjdgQX8FpqCXZl0wfONc2ai1Prmv5/nNYsuKoU7/mumN5COWJa7PPtp9u9rHLk7uo6qI6kbuTJMlm8cjZS527YP3ZtuZfJ4J8PDCxV0Snnl+07/ecRUK4Hx5sVLRE1BoPrcY8RWpjTTu1dNQfv9qHuYO62OW51MhTZ3nsMa1ftKAkRM5XWiNbFN18eddIgWmIiMiRZg+MsbhmszOrELd+tBMnXpglMJVzxQT5ICbIdINdZOAZFt4QEVGnDQgHNt3u2jdUd4b/G07/kisBRMiyfKTxoCRJ/QG06WKwYgpvANOdqS1VSd82Jh5eHqZfQMnG/PPNXW+rH/bQahAZ6IXJvSM7G5XIIeYmx+DfmzJYdKMCtQbT/fkPT+slOAk5w7zBXVGjN+JieQ1kWTZPJWVstNwwLsMow7wMGfh0SwaqDA3Pd+e4BCyc1QeaRp1sqGXr/jwJh84VY0t6AV5adczisVd+PY5ZA6KRGMHpHYjUbOaAGHNxvCzLuOlfO7D11MU27+/vpcNtY+Ihw/R6bKx7HY4N9sF4lU5H98jUXvDQSfDQaBDoo8P8IbGiI5FKrDhwHg9+tdfhX+e5K/s7/Gso2Y0f7rBY33qqAAnhfoLSEDlXqE/DZ5i/Xd4Po9lZmojIZTUt5H5oShJuHh0vJgwREZGLOFQA9PzYegpfEmYZgHdsjIcCeBrAja09gaIKbwDgu91nbY6vfng8+kQHOjkNkXN5aDTgzEXqEOhjevksb3SHH7kujUbC9SO6d3j/4d4XcNdvDZ0crkrpavPuc2rZgK5BGNA1CBtO5FtcjJ89kEU3RK5GkiTMG9y1zYU3HloJC0bFQW+UIUPGjP7RGNI9xMEpHe/eiYnw9tCKjkEqlN3JDlKtmT+kK66ILMIkN7/gkldabbF+saxGUBIi5wv0bCi8uW2se087R0TkDt64frC5682b69Lx5rp0fHX3SAR6e6B/l0DeVEZERERqlyTL8samg7Isb5Ik6d22PIHiCm+aO1FVUWNAaVUtPLQaeGo10Gh4IEeuR6eVYJQBg1GGlr/jiuahMRVNBHgr7mWUFGj3BYPFuoYnIzrlq7tHYdo/NuBkXhkAQKthERORK7pueDf06xKIucs2t7ptrUHGextOmdff35DhElPLbs+4iEns1kkdcN/EHrhvYg+7PJcsyziVX465yzahqtaIfYunIcTPE6mpqXZ5fjUbmxSGLekNBYLrjuXhoct6CkxE5DwrM2rNy6NeXIsrB3fBk7P7CkxERESOFBXobTVW3/1vybwBWDAqztmRiIiIiOwpoIXHPNryBIq7YvzHKUk4U1iBNUdzLcbnv7O1w895y+g4LJrTD546XpgjZavvgFFrMEKr4d3NSqbTmgonqvVsA0etq2nSymr2m5swtW8kpvWLsjltFeS67esKdKSGRUiQMDYpDHFh7juNwefbT5uLbgDg57QcLLshRWAiIrKH8mo9lu/PQerxPPx2JLf1HZpYMKo7ugT7AAAm9oqwdzynqaxpKNZcdfACTuWXY8Go7vDS8diQxJAkCUmR/qiqNR33hvh5Ck6kHNcMjbUovNmfXSQwDZFzzU70QO8e3fH+hgxcKKlC2ln+/hMRuapdWYW4/oPtFmMJ4X4I9PFAdKAXLk/uIigZERERkd2kS5I0W5bllY0HJUmaBSCjLU+gqMKb1ON5uO3jXfD1tO9J5c+2ncbd4xPRLdTXrs9LZG+edYU3es43pXhFFaa7+3TsTEStyC+txkeHrLu5rTmahzVH8zr8vK7QyaEjLpXXYPGPhyzG9i6eJigNEdnTn79Nw+rDFzq8/7qjeVh2YwqGxoXaMZXz+TT6LPTN7mzz8p3jOI0HiTWlTySOXygVHUNRZg+MwSPfpImOQSREpK8GIZGheL/u/OOHtwwTnIiIiBzl4Nlii3V3PSdFRERELu1hACskSboOwJ66sWEARgOY25YnUFThzdvr0wGYppVqycReERiVGIaRiaHQaSRoJAk6rQStJEGjkcxjWo0EGYCvh5Z35ZEqHDhn+hBTqzcCXoLDUIvqp5i6WG57ejyiel/uON2m7W4Y0Q2ABEkCGtdzyTLQUItn6opzVUpXe8dUjRA/TwyPD8GurEvmsVC+xxO5hOeu7I8Abx2+23O2Q/vnFFfh6ne3IdTPE7IsQ4bpNfTy5BgsmtMP3h7q7BjzzNx+uHk027aTeCfzSnGuqFJ0DEVpOn3oiAR1F/4RtdeHmxpu+pv8airWPzYJAd5t6sBNREQqktI9WHQEIiIiIoeSZfmkJEkDAdwIYEDd8AYA98qyXNWW51BU4c0394zG8dxSLPzfQaS10KJ5w4l8bDiRj42PT0b3MHaxIdcR5ucJCUCwL09UKV39TEAh/FlRK+6f1AOvrznZ6nbL9+dYrJumnTIV2rx14xBM6xflqIiq07joBgDu/mw3/np5P8SG8JiASM0iA73xyrXJeOXaZADAfZ/v6VAHnMImRbFfbD+Du8YlIj5cfVP0TewVgTvY6YYU4kJxFeL5+dtCRbXlTUM7MwuRnleGpEh/QYmInCs60Nu83Ds6AL6eijrNSEREdsLpNImIiMgdyLJcDeDjju6vqE/EGo2EvjGBWP7gWADAZ9uy8Mzyw1bbXTM0FiMSQtEt1MfJCYkcKyrQGzKAyloDT1gpXJCPB7y1QE5Rm4ocyY156bT4ZKYfJk2ahKyCckx6NdXmdi11e3s3NZ2FN42MSAjFzsxC8/rvR3Lx+5FcpP11OoJ8WAxH5Aq2pBd0eNqpBaO645GpvSBJEiQAnjoN/LzUeVy14US+6AhEZrUGGVkXK0THUJQgXw/MT+mK/+07Zx7beCKfhTfkNkqras3Ln90xElpOxUxE5JK6h7L4moiIiKg1ijwDXVpVi1s+2ol9Z6wrqa8bFouXr0kWkIrI8eo7PeUUVfFkrcJpNBI8tUC13ig6CqlAbrkR8QtXdGjftL9OR4BKLxg7QklVrUXRTWOB3vw+EbmC1ON5uO3jXR3ef2yPcIT5u86cnQfPFmNgbJDoGETUjMZFNwBw7bBYQUmInK+sWm9eHvf3ddi6cAokicU3RESuZnvGRYv1xue43rh+MK4c7L5TohMRERHV04gOYEtOUZXNohsA+Hb3WXz8/+zddXxT9/oH8M9Jmrq3lBqlLS0Ud3cZOndjg905G9O7wfRO4c7tzjfYftuYOzasuLsUp1CgSl3S2Pn9kTY0bdqmbZJzcvJ5v168yNE8bZrkyPN9no2nINb2eSFSkNhQcxWnqGDl3CxSMr0J8PGS5ccoyUx+Veu/s3q/8A/Snl2Gx37cC72RiV6BTVQD40V+ImXomxCG5Hatbwt137e78O3W0w6MSFqXfbBB6hCIqAkB3mqr6c/WnZQoEiLXe3JymuVxdgmrwRIRKdUDY1MbXfb5+lMujISIiIhIvmR5x7hLdBAy50/DsVemYO/zExssf+GvQ0iauwSXvLUWKw/lShAhkXMczS0DABRV6CSOhOyhEoBKnaH5Fcnj9YhU459HRrV6e53RhF92nUWZln9vJibeEimaKIr4c8855LTx5l36Efdt0cQBBiQ3W09ewLwlGZbp1lbxU6pQf2+r6eP55RJFQuR6qVFBlsdDksOZCE9EpFAnCho/vvnrwREujISIiIhIvmTdk0GjViHET4XDL01G2rPLGiw/lleOO7/egehgXzw0IRU3DuzAk3xya4OSwrHheAHiairfkLyZRMC/ieobRI6Q8eJkCALgpRLgpZZlvqxLealVWHTXENz02Rar+X/zQg+RIhzNLcezfxxs0TYjUiLxzZ2DnRSR69U/n1GreH5DzpVVWIlD2aXw9lLhnq93QmdHhb09WbYr1Hqikiq91fS7N/aVKBIi13vil72Wx6M6t5MwEiIicqamBomaTCJUPGchIiIikmfijdEk4u995yGKwFsrjsLfW41gXy+UNjLSP6dUi7m/7kdhhQ6zxqa4OFoi8lRGEWCuH9kjq8yE13/Y0+Q6/57UBYIACBBq/gfGd42CX732BQTklTWshNEjLkSCSIjI0bpEB2HRXUPw/upj2HTigl3b7MkqhsFoglolKC4JPyHcHz/cM0TqMEjhRr62psXb3PLZFjw5QAOdwQRvD2+92j7YB+X5F69VrD2Sjwnd2ksYEZHrHM29WAHhtWVHcN/oTor7LiYiImB814bHNt1jgzG6czukH82DKALDUyLhq+E1LCIiIvJcsky8GfdmOk5fqGzxdl1jgppfiUjGagcH6I0ivHieInt6I3hCSXZ5flMVTGJVo8v7JoTi4PkSAIAomv8BwK4zRRBFc3WlnnEheGBcCisfwPb7btmBHEzuES1BNETkSEaTiB2ZhfBvQdJhebUBKU8vtbksc/40R4XmMnVbTZ0prMS/f9qHnvEheOySzqx8Rk7xyfT++GlHFqoNFyvdrD9W0OQ2FTojnttkxKqCHfjqjkHODlHWTuRXWE0XVbJtMHmOuucm+/4zkUk3REQKpTM0rIh48HwpDp4vtUxf2z8eb1zX25VhEREREcmKLBNvhiZHNJp4IwjA4gdHoltssIujInK+2otUvFblHny9gCqdUeowyA28OsIPB/VR+L8tp20u332mGLub2cfKjFyM7xrFyi4AJtoYRf7dtjNMvCFSgCM5ZXhzxVGH7Ova/vEO2Y/UNhwvwIbjBbi8dyy6xvAciBxj5oJtWHMkv0376BCkwuMTuzgoIvdUqWtYlfej9BO4bkAHCaIhcr3jeRcr3nyw+jienJzGgQJERAq092zzbUYfm9jZBZEQERERyZfsEm9EUUT3JpJqTs1zv1GrRPaqTbipM9CZZMwoAgZTwxEfRPVFB6ivs03XAAAgAElEQVRw45ge6BIdhGd+P2D3ds9M64oAHy+EB3gjJsSXSTc1sksatpp64fLuEkRCRI7WLTYYfz4wHOeLq3DvN7vs2iY8wBtLHxqJqCAfRYy0r/8zzBiWiJsGJaBLNKt7kuOMS4tqc+LNXT290TPes49N/L290CMuGAfOXRztPXt8qoQREbnWuLQorD6cBwD4dN1J3D+mE0L9vSWOioiIHM3W/ZqhyRHo3SEUggBc3TcOMSF+EkRGREREnqC0zIhlq0qkDqNZsku80epNePaPgzaXzRiWiCX7sxHqr8HgpAiOoiHFqS3b6ePFNgJyZzSJMJiAQB+N1KGQG/lwzfEWrf/y4gwAwF8PjPD4G1t1hfg1fN+x+hSRMpy+UIHLP9jYom0KK3TYd7YEl9iohqUECzdlwiSKePGKHlKHQgoyfWgipg9NBAAs3peNWd/Zl+hWV7gvz1kAc/JNXWxFS56kZ1yIJfHm8EuT+fdPRKRQ6442bEO6+eQFbD55AQDQLSYYqe05UICIiIg8m+wSb/y81dg0ZxzOFFbixk+3WC1buCkTCzdlAgCenJyG+8Z0kiBCIucxsdKN2zCaRJhEwMiKN9QCLX2Lx4X6oU+HUKREBTolHne1MiO3wbyOEf4SREJEjna2qKpV24X5KzcRtltMMO4ZzfMecp6hnSIwKDEcZworoVYJUKmAgjIdqvRNJ7X6ye5qgjTuHJGEbacKLdOlWr2E0RC51rurjlkeM+mGiEi5mmrtHRHgjT4dQl0YDREREZE8yfJSWWyoH2JD/XBln1j8vue8zXVC/TUwmUSoWPWGlKSmx5QCuiQons5oTrgJ8JHlxyjJUH5Ztc0WSY1JCPfH77OGIzyApdrrS41qOIqqqFLH9yORGztXXIX7v9kJrd6ELu2DcCS3rEXbv7f6OL6+Y5CTopPWM9O6Ii6UZdvJecIDvPHjvUNtLjOaRJRXG1Cm1aO0yoC5v+7D3rMluGdUMtSqhomwnmh3VrHVdHGlTqJIiKRVUW3g8TgRkULtPlPUYN4z07rijuFJvD9DREREVEPWZ8SlWkOjy+b+uh+FFTrMGpviwoiIiMz8NGoIMF9cJLLHztMNL1I05UxhJTIvVDDxxobXlx+2mt7z3CUI9efvicid/bg9C3vPtr5P77qj+Uics7jB/BEpkfjmzsFtCU1y+86VYFhKpNRhkIdSqwSE+GnMbR7DgAUzB6HfSytgYKlOi4fGp+Kj9BOWaW81W3CRZyjVXfwcmNozmhVviIgUrEN4wyrDg5LCmXRDREREVIdsE2/WHc239IluzOW9Y10UDZFrGEURPF1xD9UGI0RYihQRNalcJ+KBb3Y2uvyT6f0xOCkcGrUKXmoBGpWKFy+aMLVnDNYcybdMbzx+AdN6xUgYERG11cMTUnFprxjsPF2EOb/ud9h+A3zc+ybgx7f2b7KsO5Gr1SYEf7HhFEZODpA4Gnmon2wQwwpV5CGCvc2JeSVVeizZn4PkyKN4fFIXqcMiIiInePLnfVbTP9w9BL3i2V6KiIiIqC7ZDsVKsJFFXV+FjpUmSFlEEVAJgMBeU7In1KRI+Xm79w09co1AbwHfNlFxQas3ItTfGwE+XvDxUjPppgmiKOK5Pw5azZv13S5U8piAyK0JgoDU9kFtvmH98a398cn0/vh0en+sf2IsPpk+wEERSuOvvbbb7hJJKTrYV+oQZOVccZXV9IZjBRJFQuR6/72mp+XxB2uOI6cFrXWJiMh9jO7Szmp6cHKERJEQERERyZdsK94kRgbgyxkDsPN0Ef635oTNdSa/s97y+O8HR6BHXIirwiNyCqMogjk37iG/rBqA7VKrRPWdLzfhqc+32ly29anxaM8bWHYRRREfrD6OKr3Rav63dw6Gv7dsD2mIyE5ZhZW4/cttbdrHvU1UF9vxzAREBvq0af+u1jeBo0hJfkamRuKnnWeRWWKEySR6fMLwN1tOW03vO9f6tnlE7mZyD+uqkxyYQkSkTNf2j7caBFWm1SPIVyNhRERERETyI9uKN99uPY07Fu5oNOmmvvP1RpkRuSNRlPGbkqwYTCYAgEbt2TcayD5PbbD9HfXF7QOYdNMCWr0Jb6442mD+8JRICaIhIkcLD/BG7w7OSzQxGN2vPyRbWpIcRQWbE9j+s1mL5KeWIHHOYpzML5c4Kunk1qvwMbFbe4kiIXK9A/USzTz5s4CISMnWHM63mq7fapOIiIiIZFzx5unfDjS5fNnDI+Gv8YKXWkCov4Yj3UkRRFEEmMfhFlQ1pYl4Q4zscUMXb/xwRGc1b/b4VIzvyhszLSFCRGKEPzIvVEodChE5QYCPF/6YNdwy/eY/R/D+6uOt2tdXdwzC6M7tml9R5oalsIQ7ycsfe87ZHBxj8uCD4j4Jofh19znL9OvLj2DW2BQJIyJyjf35Bry5bIPVvJiQtrWMJCIieXpt+WGpQyAiIiKSPdkV1zieV4bOTy9tdr3fd59HQoQ/YkP9mHRDisGKN+6jtuKN2sNL65N9YgIa/p28t+qYBJG4N71BbJB0M2tsJ4miISJnOltU2eqkG0A5FeleWZwhdQhEVrLrVXcBgMz505ASFSRBNPLQMSLAajot2nN/F+RZUsPUuHe09bF4kC+vzxERKVHtAMRaa4/kN7ImERERkeeS3T3+jOwy6IymJtcZmhyBh8anuigiItcxee5AUbdTqTMCAAKY+Ed2sNXd5PGJnV0fiJsL8dcgc/40q3n2tqQkIvcS5KvBnSOSWrzdOzf0Qeb8aRjWSRkt6Orf0CeSyufrTyJxzmLMX2o92nloMqsyaeol4h/OKcPWkxckiobIdXy9BMyZkmZJNnt4QioCfHh+TESkRL/dP8xqelxalESREBEREcmX7M6INWoB49KiMDgpHPOW2i5h+Olt/eHnzT6ipDwiRAjKGKCtePqaTAqNl+zyF8mJKqoN2JNVfLHVGJrIlhMBoyjCYBKx+byhweLLe8c5K0yPk1uqRftgX6nDICIH+TD9OF5bdqRV2244XoCzRZW4ul88YkPdv93Fom1n8OC4FEX8LOTeXq5XfWnx7BHIP7obY8YMkSgi+Vi0PavBvKRIJs2R5zicUwYAHCBHRKRgIX4aq+nP1p/E8JRI9IgLkSgiIiIiIvmRNPHmx+1ZeOKXfTaXrT6cZ3P+77OGI8hXY3MZkbsTRYB5N+5BZzBX5qo/wpWU7ZqPNlkuLLdFmL8GH609AZUAiDC/91GTxCOKNf8g1vxf04ZOAOZMSUNEoE+bn99dGYwmpNhoR1lbgYqIlGFS92j83+bTNlvaNOfnnWcBAIu2ZWHjnHGODk0Sw+avxqY545h8Q5IprNAhyMcLZdUXE4mnvbcBCyczuQQA/tp73mr6uv7xiGJCMHmIkkq95XGFzohAVrwhIlKk0irrAWW1A6ZHpkYiKsgXIkTMGpuCTu0CpQiPiIiISBYkPSP+ekumXestnj0C3WOZPU3KJ4qseOMu8srMNwPDA70ljoRc6bVre+HVJRkwNZEkV/c9LEDAZhutBooq9Vi07UyLn99LrcK8q3u2eDul+Gz9Kavpd2/sg64xwRxVTqQwZVoDJnWPxsJNmS3etlO7AEzsHo2bByU4PjAJvb3iKF6/rrfUYZCH2HS8ADd/vlXqMNzWa9f2kjoEIpf5vzrX9YzsnU1EpFgZOaU2568/VmB5fOBcCf55ZLSrQiIiIiKSHWkTb+4YjAcX7cLG4033P5/23ga79zlnShruHd2praERSYKXqdxHtd5c8cbXi23vPEmv+FB8f/dQu9c3GE0Y/t/VyC2tbrCsb0Ioru4Xb0ngUQmCJWmndp4gmJN3IJiXX9orpm0/gJv77zLrFpSX946FwGxFIsW58n8bW73tifwKdAz3R4dwfwdGJK0vZwzAiJR2UodBHuTgeds3Vuq6aVACgKbP4z3FnSOS8PmGi8nB50u0iGOFKvIQM4Yn4Y1/jgIA9EaTxNEQEZGz1B889tTUNAT6aKASAJVKgABgQtf20gRHREREJBOSJt6EB3jj2zuHwGgS8faKo9h5ugg+GhX0RhMSwgNaVQ1g/tLDSIoMwKTu0U6ImMi5RBFQSR0E2SUm1Fw+PrdUi0RW2yAbzhZVYuWhXJtJNwCw+0wxdp8pRrsgH0zraZ1QU5twc//YToj04NZSddkaQaszmuDD5DcixfnlvmH4enMmcku12HKysMXbl2r1za/kRu5YuAPX9Y9nxRtyusyCCnyz5TTsKVoRH8bEklo3DupglXjz197zHAxEHqNua6kQP7aFJyJSqj/2WLfWvHsUj3WIiIiI6pNF82W1SsDjk7o0mH/dgHhc/eGmFu+vQ5hyRriSZzGJTfSvIVkJ8ze3mCqpUtbNPWq7S99fjwPnmh8pXiu/rLrRdipfbrx4E2dQYjgempCKMH9vdI0J8rhKLxnZ1r/T7+8ewqQbIgXKK9Pimo9afvxf17BOkQ6KRjqZ86chcc5iy/RPO8/ip51nsf8/ExHkyxubZL9zxVUoKKuGSRQhwpzoD4gQRaDaYMI9/7cT5dWGFu/39eVHsHAyk88BICUqCD/fOxTXfrwZgHkw0PQhHRHgI4vLLURO56dRo0pvxPfbzuDWIR097jyFiMgT+HurUakzWqYvlFfDS62CRi3A35vHPERERESATBJvAKBSZ4DeIMJgMqGoUoer/rcJZS28ADgyNRJf3D4Q3l6sGULuSQTzbtyFT83nTJXe2Mya5GnOF2udst9tmYW45fOtAICXruiO6UMTnfI8cnU0t8xq+sZPt2D5w6MQG+rLm9BEClGpM2DQK6vavJ+fd55Fj7gQB0QknYpGzoPWHS3ANA9vO0j2O55XhglvrXPKvm8dwlZTtY7lllmSbmr5apgcTJ6j9pz42T8OYkyXKEW1eyQiIrO6STcA0P/llZbHX9w+AOPZZoqIiIhIHok3e7OKccX/Ntq9/pczBiAiwAeCAAT4eEEAEOynYTsOcnuiCI4OcxN6o7kGP18vqm/Xs5dYTe/JKsYPq7Zj0WFdo9uMSImEWiVArRKgEsx/V7V/WYIAGE3AyoxcJEUGICHcH9N6xTrxJ5Cny3vH4nheOT5MP2GZN+kd883Enc9MQASPAYjcnp9GjblT0jBv6eE27WdopwgHRSSd7s8vtzxuF+SDPh1C0adDKKb0YDtdsl9iRADuHJGEracKoRIA1Bxf1B6+qupMiyJgFEUYTeZqOCZRhEkERHOJHBzOsU6AvX9MCo7uYeIN0PBG1BV9YqFW8RyBPMctgxPw7VZzq/ggX1lcZiQiIierbTXYqV0A+nQIlTgaIiIiInmQxRlxp6hAJIT740xhpV3r37FwBwBgwYyB6BXPAztSDlEUWfHGTZwprAAAdAjzkzgSkjOjScSVjSSWBvl64dFLOuOGgR1YltcOXmoV7hqZbJV4AwD3jEq2tH4jIvcmCALuGd0Jtw9LxIn8ckx7b0OL9/HtnYMxPMX9W03VevO63rimf7zUYZCb8lKr8Myl3dq0j8IKHW76dEuD+cPmr2arqRqqeon4797YV6JIiKRRqr1YpS2Ux+VERIrXzk/A9ucnSR0GERERkezI4k5foI8X1j0xFgBQbTCiXGvA9C+24VB2aZPbzVy43fL41LyprDxBbq9mQCm5BfPnTf0L7UR1qVUCvr97CL5YvgOhkdH4aedZy7IyrQEzhydJGJ172XS8ADfXtNqqq29CGFQcVU6kKL4aNcIDvDGtZwwW78+2e7tXruqhqKQbAGwrRZLLKdHiSL12jwCwePYI5B/dLUFE8tMz3rq1nVZvZKsp8ihGk8nyOLdUi/bBvhJGQ0REjmYwmqymL+/Edt9EREREtqikDqA+Hy81zhZVNZt0Ux+TbkgJRIjg/WP3UFBeDQCIDuFFRWrakOQIRAeorJJuAODQixwd1BK2Ws/07hCKocnu31KGiC6qqDZg3tIMDJ23ukVJNwCw7EAObvtyGx77cS/Kqw3Nb+AGtHpj8ysROVG32GCcmje1wfx/1VShpYa2niqUOgQil3r0ki6Wx2VavYSREBGRM9QfJzo4RhZjuYmIiIhkR3aJNwDQKz4E/7nM/pLYCeH+GD5/NQa8vAK7zhQ5MTIi5zKx4o3b8KrJkDKxTBE1I7+sGvUGBwEAuj23HHpbC8imb/412Go6JsQXf8wajhB/jrQiUpKnftuPT9aebNW2648VYN3RfPyy6yx+333OwZFJ491Vx6QOgQiCIODVq3pazcsp1UoUjfxsOlFgNb0zk4k35FlK6yTbBPny2JyISGm86o0S3XDOgON55Th9oQJZhZWWfyKvkRIREZGHk2V6siAIiAvzt3v9M4WVlsdfb8pEv4QwZ4RF5HSiWNvAiOROXXPSaTDypJLMlu7Pxn3f7rJ7/Ynd2kPNam12q59gY2CmIpEiPXdpN/yx53yb97MqIxfbMwshAJgxPAl9OoS2PTgJLNiYiQUbM3HoxUnw95blqRt5gK0nL+Cp3/Zbz3tqPDJ2bZEoInm5+TPrVpjvrT6OB8enQqOW5TgnIoeqNhhx9YebAAAzhiWyzRQRkQLV7zTw9SEdvj60tsF694xOxtwpXV0VFhEREZHsyPbqbWFFdau2+33Pefzegov1tw/tiNnjUxHq7w2VwJZVJC0RIvgn6B681DWJN7z5TzVC/b1btP7+cyVQsbec3U5fqLCazi+rxoXyakQE+kgUERE5Q0SgDzLnTwNgrn7z3dYzrdrPmiP5lsd/7D2PU/OmOSQ+qaw7mo9qgwl+GjUu6dae5yzkUjd82jDBRsW/QYuuMcHIqNcq+0K5ji1pySNodRcreC7clIlHJnRmRUoiIg8RW3OsIwgCfLxUuGFAB4kjIiIiIpKWbBNvbhiYgEu6RaPfSyuc+jxfbT6NrzaftmvdL24fgD4dQnmTj5yGFW/ch5fKPIKVrYI8yz8Hc3D3/+10yL6yS7To8fxy83teuPje9/ZS4bu7hqBz+yCHPI8SXPb+Buw/V9JgvsaLI8mJlKxzVGCrt40L9cNjEzsDAIanRDoqJJeZMSwRCzdlWqbv/ca6otq4tCh8OWOgi6MiAsanRWHu1DS0C+I5ca3fZw1Dl2eWWc0bMm8Vdj97CcICWpaYTeRu6ibZTOjankk3REQKpVEL0Ner+n2+RItHL+mMa/rHIy7UT6LIiIiIiOSj2cQbQRDuBnA3ALRv3x7p6ekteoLy8vIWb1PXwskBDeaJoogjRSbo7GjxcqbUhJ+P6Ztdzx7/+mqH1fTUI/9gYLQaKsE84k8FQBBQM22+iVpbzEAEYBKBCF/B0qLG0Zp6rdr6OrSGFM8p5fO2RGOvVU6OFqJokn38beUOr1Gtxl6rXWfNnyubt27D+WC1VOHJ4ncphxiAtn9f1Td3fSWyK5xb0ai82mBz/nt/bMa1neV9o6a8vLzV2zb2Wtn6W7pQZcL+c1VW814d4YcwXwG7tmxsdQyNkcPfsxxiqEtuxxctIff4AMfGWP+1coef35Yqg4gHV1XC0IaP4BHtjQgvPQ4AyNh1HBkOis1RmvscHBMMDJngj1KdiCfWVTXYXl9W6PDXVsq/Fzn/rdZ9rdq1ayeLOKX8fU1PrMDZQztx9pD8XjdHHwvaYutnLq5umIjfu50au7ZudOi5v9S/b2d+X7nTsQUg/xileq0GB5fI4vcix9fHFTE19xkox99LXXKPD+DnYC25xwe47rVqK3f4Xdb67BJ/PLOhEmfLrU/S3lpxFG+tOGrzHo6r2fNaOep3npurRVWVfdfweY+kIXf+DATkHyO/ry6Se4x8rS7y1Bh7RALrZ3JwcWMC35U6gpYTRNH+K9oDBgwQd+zY0fyKdaSnp2PMmDEtDMuxKqoN0BnMF8NMogijSUR5tQGP/rgXe7KKJYtr+cOj0CXauqKBIAg7RVEc0NZ913+tpHgdpHrtXfW8znitZi/aja3HsrH1ualtjk/OXP234YzX6s+95zF70W6b72NXksNnrCNjcNZnYGukPr2kwWielvrlvmGICvLB1q1bMGzoUKhVQk2CplDzDxDq1LkSIUIUgVB/jezbiKSnp2Ps2LFtfr3qvla2/pZKKvXo/eI/lunpQzripSt7tOUpm6S091QtJR1ftITc4wMaxujI1+qNN96Q/c9vS6lWj17/+af5FRvhrVbh79kjnF45zBnvK1t/s6IoYlVGHu782vp77dlLu+FfI5La+vQWUr5fnP3cjnqtunTpIh45csQRIbWJq1+rxDmLLY9rW8E5Kw45HQvaYutnrtIZ0fU564o3867uiZsGJTj9uV3Jmd9X7nRsAcg/Rle/VrWfEb/ePwz9EsLa+jRtJsfXpyUxOeL1svUZKMffS11yjw/g52AtuccHuO61ait3+F3W9czv+/HNloatgD++tT8m94h2yHM4+7Vy1O/8oe93Y29WMdL/PbbZdZV6j8RTPwMB+cfI76uL5B4jX6uL3DFGR7xe/boHieu/69/W0BQrsM9ay+84MKGv2PPx9FbtZ8tDoQ55b9lDtq2mHCnAxwsB9SphRwH4fdZwq3k5JVoUlFdDqzfiti+3oVJndGpcd369HeufGOfU5yD34tzaGuRItUmLaiajKtb+/0zC2yuO4kR+OVZm5LVqH3uyijE+LQoRvgJiWXa3VTadKLCaDvT1iEMXIo8W7KvBtqfGY9Crq1q1/ZvX90ZGdil8vFToGCH9yMu2KtUa8PWWhq1xQ/3YzoNIDvy81fjstgG4q05yHNstkCd64Ntd2DR3vNRhEBGRk9w3JsVm4s2pggoJoiEiIiJyLEEQLgOwTxTF0zXTzwG4BsBpAA+JoniquX3wlnEd0SG+6BEXggGJ4Vjz+BjcPrQjbh/a0WnPZ2pYkZo8nCiKkHmRC6pH7lVJqPV8NWrMndoVn902AE9NTUPv+BD0ig9Bz7gQu/fx0t+HMOaNdGzOdm4ip5K9vfKo1fSssSkSRUJErtSW9iwPLtqNh77fg9GvpzsuIInklGjR+4V/sO5ovtX8UH8NLu0dI1FU5GmcWWlOKT5dd8Jqun9H6at+ELnKgpkDAQBj06IkjoSIiJwpLtQPS2aPbDD/v8sO4/9sDBQgIiIicjOvAMgHAEEQLgVwK4A7APwJ4GN7duAxw8ZFUcQXG05h2YEc6E0iBACCgJr/BYiiCKMImEwiTKIIkwjojSb0irf/BmtLnSuuwpkLlUiI8Hfac5B7EUWAaRzuwd/b/PFZWc2ECiW67uNN2J5Z5LD9bc8x4OvNmbhlcMc23Uz2RDOGJeGp3/Zbpn28mDNMpFQmk4g1R/KwPbMIKgF4YGwKVDUH7e+tOtaqfSbOWYwNT45FfJh7Hm9n5JTanP/4xC7w8VK7OBryVJO7R+PZ3w9IHYaszRyeZHXsuHhfNq4f2EHCiIhcp7bCk9HEGr5EREr2xvIj+GDNcZvL4lntj4iIyC6CINwN4G4A6BDj08za5GKiKIqVNY+vBvCFKIo7AewUBOF+e3agyMSbR37Yg992n3PIvo7nlQMAvFQCVCoBOoPjytTEhvgiKphvKrpIhMjEGzdR+1lQoTNIHAk5w7SeMQ5NvNmdZ8TuPw6ioFyHa/vFM+GyBar01slt+8+VoF8CR5ETKcnerGJc8b+NTtv/ztNFbpl488eec3jo+z02l4X5e7s4GvJkQXXaPBpNIpOIbag2WB+vFFbqJIqEyPVSowIBAN9vz8L8a3pJHA0RETmDySQ2mnQDmFtvEhERUfNEUfwUwKcA0K97EEcvyIsgCEIggEoA4wF8WGeZrz07UGTiTVp0kMP3aTCJQAtH7/zv5n4Y39VcalcQAJUgWCrsWCrusE0N1SGKYKspN1FerQcARAfb9VlLMifWVDozmEwwmkRc0z8epVoD3lpxtPmNW+C9Vcfw3qpjSH98DBIjAxy6b6XS1ku8+fdPe7HqsTHSBENETlGb6O5Il3RrDy+VgFB/DXZkFmFHTRWdhyd0RliA/JNWDEZTo0k3APDV5kx0igpAWnSw64Iij7W2TquzTk8tsTxOCVVh1CgRKibiYGhypNV0ZTWT88lznL5gHhDYLyFU4kiIiMhZdMamByNHBsr/HIuIiIioGe8A2AOgFECGKIo7AEAQhL4Asu3Zgdsl3uzJKka13ojvtp3BH3vOY2RqJLrGBKO82gC9wQQRQF5ZtdRhAgBmfberyeVBPl7Y8/xEjhgkC5PIijfuorbiDd+/7mv6F1ux/liBy583OTIA8WEswWuP9cfy8fryI1bzTuRX4IHvdmHe1T0R5KuRKDIicqRr+sfjmv7xVvMKyqvx7spj5mMjAfjnYG6LjvFXHMq1Ob9SZ8Tr1/VuU7yuYBRFhPlrUFSpt7l826lCPP3bAfxy3zAXR0aeSBRtD0A5XmxC8lNLkDl/mosjkh9/H47yJs+1/GAOAGBKjxiJIyEiImeZ++t+m/NHpkZi4cxBvD5KREREbk8UxS8FQVgOIArA3jqLcgDMsGcfbpV4s/F4AW75fKvVvPXHCiS5ceoI1w/swINSsuKnUUNrbH49kp5GrQJQUw2L3NKlvWIc9v2RFh0ElSBApbKubqaqqWx2Oq8YBVXmv5WTBRW44dMtGNDR3C5JhPmGlijWPja3nWvkHpdF/Ztgs8enIiJQWe0L+yaEYWK39vin3g30v/dlIz7MH3OmpEkUGRE5w4wF25B+JL/5FVtgcFI4pvWKMX+2iiKuH9jBoft3lm2nChtNuunSPggPTUjFkOQIF0dF7uZIThmWHsiuc2zSsOJq7aQAoc7jhsumD+mI/9tyusFz3D60o3OCdzNrDudZTc8YniRRJESut3BTJgAgt1QrbSBEROQ0py9UWE0PTAzDa9f2RhKrORMREbXagQIgdUHTVeXItURRPAfgXL152YIgnAGQ0Nz2sk+8qdIZ8d7qY6isNkDq29shfhoseWgk4kL9kJ6ejjFjxkgcESmNWqWCgZ+xbsFYk6SbvNEAACAASURBVPSw/VQhTzLd1A0DE3DDwGa/J5tkNIn4Y885VOiMlhtagPkGVa2lB7ItSTe1dp4uws7TRW167voKK/V4/6a+Dt2n1AJ9vPDpbQPw/qpjeLNe26+HJ6RKFBUROcvmExfavI/kyAB4e6nw7KXdMDwlsvkNZGrdUdsJSFN7RuPhCZ3Rub3jW+uS8kx6Z51T9z8kRo17Rndy6nO4i/rnA5+sO4G5U7pKFA2Ra2WXmBNuvtx4Ck9N7cr2c0RECjQ4OQK7zhRbph+9pAuvhxIREbWRt08KOib/JXUYspUNWbUztutEV/aJN19uPIWP0k9IHQYAoKRKj+HzV1+csWxxk+vfP6YTnpjM0fhkv2qDERqV1FGQPXJrLi72TwyTOBKS0jdbTuP5Pw+2eT//ntQFGrVgPdpcEJr8Jq87YF0AcO0A96ji0FKbThQ0SLr5Y9Zw+GrY0oFIKXZkFuKlxRnoHhuMfWdL2lRN7mSBeSTmzIXbcfTlKY4K0eUeGJuKz9afajB/yf4cLNmfw9Y+ZJdlD4/Ekn3ZloRxwFxZb8fpImw7Vdjm/W/JNuKSt9bi4IuT27wvdxfm7201/cnak0y8IY9xVd84/Lb7HEwicCyvHF2imRxKRKQ0D4xNsbpH8+uusxjaiRU4iYiI2qJz0HGsHH2F1GHIVqDUAViz64K17BNv7hmVjMhAb1TqjHjhr0NSh9Miqw/nMfGGWsRXo4ZR6tJOZJfc0moAQF5pNTq1k9nHP7nMjYM6oKC8GgXlujpzRSzaltWi/SzYmInYUF/LdFyoH167theCfDUOitR99e1gndzWLsgHvTvIKtOZiNpo7q/7cSyvvM378fFS4dPbBgAAeseHtHl/Uhr7Znqjy67uG+e6QMitpUUHIy06uMH8W+u1b26NkamR8NIWY841w9q8LyX4cYf1sd/do5IlioTItUwmEb/tNlfhDvBWIzHSX+KIiIjIGYqrrNvgxoX5SRQJERERkXMIgvA+bCfYCIB95Xdkn3jjpVZZWoHsP1uCX3efa2YL19r29HhEBfk2vyKRHXQGEyveuIluseabGMntWFbVk/l4qfHYxC4N5s+7upfVdOKcpiukmZN3qi3T+86WYGrPGFzWO9YxgboxP281Zg5PxIKNmQCA/LLqpjcgIrfz5wMjkJFTCqNJhNEkQhTNbfq+3ny6RfupNpgwunM7J0XpWoUVFxM6D74wCQE+sj9tIzeyYOZAZBVWwmgSoTeKMInm957BJMJgNMFgEjH9i61oqvjU+mMFeHm4Hytb1FhYc5xSa4xCPouImiMIwKTu7bH8YC7uHd0JPl6sSklEpER1uwAMjFbj4QmdJYyGiIhIGQ4UAKkLTFKHQRftaOUyC7e6gnu2qMop+50xLBHJ7QIgCALUggCVAKgEAVHBPhjTJcrmNunp6RgzZoxT4iHPpTOYoGbijVvIL6uGACAqyEfqUEghpvWKwV0jkyHAnGzSuT1vZNVadzTf8vhfI5IkjISInMHPW41+CdbVrXaeblkbnCcnp2Fqz2hHhiUbKzNycUUfVrkhx9GoVUhupmLjwRcmIyOnFFd/uKnRdZ7ZWIVbL3N0dO7pxSu745Ef9lqmlxzIxrCUSAkjInINQRBwz+hOWH4wF8fz2169joiI5K9zGJMsiYiISHlEUfyqrftwi8Sbj9eewPylh522/4WbMhtdtmDmQIxtJPmGyNFMogi1IEgdBtnBKIpQCeYLjUTNifIXkFfZdB+5mcMS0YctlGzKq1Pl5osNp3B1vzh0j3XvNjJE1LQ3/jnaovXvG9PJSZFI64o+sbic1c9IArUJcVf2icXve87bXOeV4WwxUOuqvvFWiTc/bj+Ll6/sKWFERK6h1RstCXodI1gNlojIE3QK5ahRIiIiIlvcIvGma0zDvvSOolELuKJPHEQREGvbdtX8lxDhj5EcpUYupBIEiGLTN+eJyP3MH+mHO5ZXNpgf4K3GwRcnSxCRexmV2g6L92dbphdszMQb1/WWMCIicpaC8mrc/bVdlTut1G3pd+CFSQhUSGumTScuMMmXHMpkMreWMonmpH9RNCeUm0QRogk1yy4uf3JKGq4f2AE3f7bVso+bByfgpSt6YP26tRL+JPJiMFqXhg72U8ZnEFFzsgovnuOwGiwRkXJFBnqjoNzcDjerlC0xiIiIiGxxi6tBozu3Q+b8aZbpaoMRxZV6/Our7ThwrrRN+9YbRfy882yjy99ZeazBvFB/DYLURlyqPYzZ41Lh583yiuQYKhVgYt4NkaLoDCZsyzHaXFahsz2fLtp4vMAq6ebVq3ri+gHxEkZERM5006dbcCyv9a0qUqMC4aVSTqJKflk1KnUG+Hu7xWkbydyBcyW49P0Nbd7Pq1exkkt9yw7mWE3X3pgiUrrUOu1xf955FrcO6ShhNERE5Cz3ju6ElxdnAACMvHZNRETkED0igfUzWUmuMYHvSh1By7nlFVwfLzXaB6vx94MjG13HaBJhMJlgNInQG0UYjCb0f3mlQ56/uFKPYgAfpZ/AR+knAAARAd5Y+vBIRAX5OuQ5yDOZTACUc69I0fw0ahhFcyKgjxeT76hxb/xzBJ/urba57Kd7h7o4GvciiiJu+Xyr1bwr+sTCS82DUSKlyi3VtnrbwUnh8PZS4f3Vx/DIhM6K+azo9txyHH5pMnw1PN6gtukY4Y9+CaHYdaa4Tfs5mluGznVuthMwrWcMHsBuqcMgksR7N/XF7EW7sSerGFq9kd9XREQKdPuwREvizdeHdHi4QofwAG+JoyIiIiKSF7dMvLGHWiVArTKf7Is1pbKPvTIFoghU6gyY88t+HM0rA0TgZEFFm5/vQoUOOSVaJt5Qm4gQoYxbRJ7DS8VXTOkyCyqQX17dICeudoCPAHOy58drT+BQdilE0Vy5ShRFJEYGYFBSeKP7vu7jzU0+99KHRjq13aLc2Wqv8uqSDLzCkfZEilNcqUOfF1e0aR9bTxUCANYfK8CUHjHoERfiiNBkYeq763HP6GREBPhgfNcotp+iVgny1eDX+4cDACa9vQ5HcstatR+2k2nI1nty95ki9E0IkyAaItcxmkR8vv6kZVpvNDHxhohIgbaeLLSa7vfSCjw8IRUCBMSE+OKqfnHQKGTgAxERkascKABSF7CFo5IoKvFGFEUkzV3i9OfZ9vR4HNixGWPHjOFFb3IolSCA1Trdg6GmJ5haQe0syJpWb8QVH2xs9U0pwJyUufN0Uau2jQv1Q3Qwkznre+6yblKHQERO4OetxpDkcGypd0G3textp/Pxrf0wuUeMQ57TkV6/thf+/fM+y/TJggo8+ct+AMATk7vgvtGdeB5CbTKxe/tWH+P0eXEFvL1UGBmrwshRIo+Ha7x4RXc898dBy/RVH26yaplNpERqlQB9nZ4jQb4aCaMhIiJnGdoposG8d1YeszzWm0y4ZTDbDRIREbUEW001ja2mZGBC1/ZYmZHr1OcY9Moq84PljSf5nHh1Ki9AUosJAiAy88Yt6AzmLFSjiTcblCq3VNumpJumTO0ZjaendYNKANSCAEEQLO9/QQC8VAJC/VmyFwDC/DUoqtRbpvecKcbg5IYXfIjIve0/W+KwpJuW+HrzaVkm3uw/V9LosteWHUFWYRXmXc3qX9R6j03sgkcmdEZhpQ4qQYCq5jhEBGASRZRpDZi5YBsyL1Ta3F5nMGHVGRPKqw0I8eONdgCIDfGzmr6yT6xEkRC5zj8Hc1BQfrGt7rniKsSF+jWxBRERuaPMC7Y7Bjw4LgUhfhpcP6CDiyMiIiIikh9FJd4IgoDPbx+AtUfzsf9sMYoq9fhiwymXxzG2S7sGLUmI7MW8G/egUQsQAL7XFaxjRAAOvzQZ1QYTIJpbwQHmZKvaVlLVBhNmLNiGE/kta1m4ZH8OluzPaXKd927qi8t784bNuzf2xW1fbrNMrzuWz8QbIgU6kV/u8H2ueXwM2gX5QCWYqwoKNf/XJhnIuWLM15tPN7mc3w/kCA//sAd/7j3f6u3fGevHpJs66t+QMvLEjjzAq0sykF92MfGGFTuJiJRJtDFSdPqQjnhsYhcJoiEiIlIGtppSHkUl3tQa3bkdRnduBwCY0iMaLy/OgLGmLYwI0aqiiCgClTpDoyP5WmpAxzB8OWOgrC/kk3wZjCLU/NNxC2wL5hl8NWr4atRNrrPqsTGNLrv/253NJtjUFRFgrnITE+qLoUwuAQB0jw22mv7fmhO4c0QywgJYEYhISW4YmIDEiADc8OkWh+zvjet6IykywCH7ksJr1/TCE7/sa3T5wfMlNsu9E9mi1RtRqtXXJBLXVrYRMal7dKsTb56Y3AWhOOvYQN3cy4szrKbzSrUSRULkGlqDiB5xIVbX01gNlohIme7+eqfV9Fd3DLLcfyEiIiIiM0Um3uSVavHOqmPQ6owwiSI6RvhDFM0ls80XGs3JN3XnOSrxZsfpIiTNbbwFVX1b5o5HdAhHBJGZWiXAxGwOt5BfU067VKtnSyAPcTyvDBPeWuew/Y1Pi8IXMwY6bH9KtSojr8G8ae+tx9+zRyKcyTdEijI4OQJLHxqJnBItIJiP2Y/nlePVJYdbvK/iSp0TInSdqGCfJpe/vDgDb/5zFBkvTXZRROTO0p5d5vB9vrbsiPnBssV4amoa7h7VyeHP4W4SI/ytritc3S9OwmiInC+/SsTf+7KlDoOIiFzgZIF1Zb/bv9yGtOggLHt4lEQREREREcmPIhNv3lpxFN9vz5I6DLuwMA7VlVuqhdYodRRkj9q+9TmlWibeeIhgX8e2Ulh1OA9zf92H0Z2jMLlHtEP3rSRBvg0PVc6XaNHvpRU4+MIkBPgo8lCGSPHWHM7DzIXbnbb/bvWqZbmbf321o9l1pvTkdwfZ5+mpXfHJuhMAzC3XBKDm/7rTAoordajQtfxkpFtMiKNDdkv+3tbHJDkl1Y2sSaQMHYJU+GPWcFzxv42WeSaTCBWr3hARKc7scSl4b/Vxq3m3D0uUJhgiIiIimVLk3arnL+uOgYnhAGouKArmtjDmaQGqmouMKqE28UXA2qP5WLTtjFPjGtAxDDtOF1mmIwN9kFuqRXv2wKYakYE+OJkrdRRkjy7tgwAAJZV6iSMhV4kK9kXm/Gmt2vaO/y3H6ixDg/mLtmVh0bYsXNknFm/f0IdtCm2Y0jMGmfOn4aW/D+GLDaeslvV9cQWOvjJFosiIqC0c/XGntFLnd45MwidrT1rNW/vvMegY4b7ts0g6d41Kxl2jkhtd/v6qY3hzxdEW7fObfw2G4dwBjBkzpo3RKcflfWJxKLvUMv3dttN4aEKqhBEROVeVQcSMOkk3AFClNzIxnohIgW4flmiVeBPk44UJXdtLGBERERGR/CjybNjPW41r+se3aJvJPaIx7+qeNpcZTSJWHMpBld5Y054KyMjIwBcHWlbCvm7SDQAUlFfj8g82tvpGLimPWiXASyV1FGQPk2juCcZECbKHraSbun7fcx4PjEtFSlSgiyJyL0dyyhok3YT4abBgJlt1EbmrMV2iGhwDP/Xbfny3tXWJ8Ld/uQ3Rwb6W6h0AcN/YFEwf0rGNkUrDy0a1gHXHCjCdiTfkBBGBTbc2s+VIbhnYXMravaM7Yf7Si63xckur8cHqY3hgHJNvSJl81dbT/RJCoWa1GyIiRap/vFhWbcDAV1bCW61Cr/gQvHFdbyRG8lyFiIiIPJsiE28cTa0SMLlHjNW8t44fbmTtlpnC9iJUh4+XCrxM5R5UTLihFnhvrD9mr6lscp0Jb60FAKgEYNOc8YgOYTW0Wt9tPd1g3oSu7dEvIUyCaIjIGRZsPNXqpJtaOaVaq+lnfz/gtok3yZENEzF3Zha67c9D8nbz4AQktwvAjZ9uaXbdQUnh+OTW/ggL8EZ6esPvZ09WZaNNF29AkZIJgoBO7QJwIr8CALDrTDETb4iIFGr1Ydsl2nVGE3acLsKvu8/h0Us6uzgqIiIi8hSG8ioUbTwgdRjNYuJNK4X7OuZiwnUDWlaZh5RNo1bBYJI6CrJHYYW54lWwHz9GqXnrztrfkswkAhcqqpl4U8fzl3XHDQMTMPW99ZZ5UcEtH51PRPJ1vriq1dumPz4GPhpzyUBRBEQAoigiIsB9Pyce+2mv5fHi2SMQHuCNqCB+L5DzZJfY9x7cdqoQW05ewJSeMc2v7GH8vNUN5l3aK1aCSIhc58UreuCWz7cCAD67bQA0apbwJSJSotWH8xrMW/bwSHirVRAEAR3D/SWIioiIiEheeMe4lRJD1A3K4z+4aDf+2nu+RftZfiAX49LYD5XMdEYTNA2v15IMVerMrYMiW1GanzzPtGQNrhrdz3JRutaMYYlQqwRc1TcOPeJCJIpO/lQqocENwSv68EYWkVIczinFZ+tPNb9iI/677DAu6x2LqQpKBLhvTCd8lH4CANA1OhgqVhAgJ7uqbzyu6ms9KOR4Xhke+cGcBLb/XIllfgfeWCGiGsNTIrFw5kDMWLAdT/6yDxO6TmA7ZiIiBbppUAK+2WJdobRjeIDNxGMiIiIiT8WhKA70/k19kTl/mtW/+8d0anKbH3ZkuSg6InIkg0kEABzOLpM4EpK7eUszMHN5ZYOkm78eGIH/XN4dz17ajUk3dqjfViotOliiSIjI0ZIiA3DjwA6t3n7pgRzc/+0ufGujLZ27Sq7TnmbU62skjIQ8UZXOiAcX7cZl729Ep3YBVkk3AHjc0oQr6yUG78kqligSItfZf9b8GVFYoUOVvmHLNSIicn/1q2+OT4ti0g0RERFRPax442RPTE7DE5PTAJgvQmj1Rny39Qw+WHNc4shIjkQR4Ngw99AuyFzphq2mqDFGk4hqgxFane2Lz5d9sKFB5TSyTRRF/Pvnvc2vSERu50R+Oca/udYh+3r6twPIyC7FnSOSkVgnccUddW4fZHl8tqgKB8+XIDLQB1FBPqwkQE73yboTlkquv++xruh6aa8YlFTqEeKvkSI02YsPs64GxLYL5Ak+32CuWvfljAHw9+b5MRGRErUL8kG7IB/kl1UDAFYdzkPinMWW5XOmpOHe0U0PQCYiIiJSOp4Ru4BWb8SZwkqIIiBCxKjO7Zh4Q+TmgnzNH5+iKHEgJEuVOgO6Pbe82fVMJpHtQ+wwf9lhrMyw7ideXm1AoA8PY4jcXXGl3qH7+2bLGXyz5YzbJzamxQRZTU97bwMAc4vC/1zeXYqQyINc2isG2cVam9VZ/96Xjb/3ZePDW/qBKSUN3TCwg9W5vpeax3mkfCVV5u/yv/dms5U6EZGCLZ49AoNeWWVz2fylh3Fd/3hEBPq4OCoiIiL31SMSWD+TzYkaE/iu1BG0HO9YOZDRJGLf2WJkl2ihVgkQAHy37QzSj+RLHRq5CbVKgImJHG7Bx8tcTlXLUtpkg6+XfeV2X16cgaGdIhAR6N2glRJdNLVHDP7YfR45pVrLvC/Wn8JDE1IljIqIHKF/xzBkzp+GgvJqvL3iKL7deqbN+3xmWlcHRCYtb3XDk+6oIB/c0IaWXOSZtHojyqsNKNcazP9XG1BRXf+xEeVa8+OmWiFr1AL8vb2QFBmAIckR2HfBhT+Im6h/bjB03moceGGSRNEQOV9t0g0AzBqXImEkRETkbH6apq919X95pdsPgCAiInKlAwVA6gKT1GGQAzHxxoE6PbWkxdv07hDqhEjIXQkCmHjjJgw1L1R2ibaZNckTqVQCTs2biu2ZRajQGXDv19tRbSNH68uNp/DlRnNp9kV3DcHQThEujtQ9dI8Ntkq6AYBrB8RLFA0ROVLd8uStcXnvWPSIC8atQzoqqr3FR2tPWE2vf2IsOrBlDbXQN1tO45nfD7R6+5GpkbhjeBLUKgFDO0VAYyMhjKztPlNsNT1jWKI0gRC5SF6dY/SoIFY5ICJSsg/TT9icLwiAAOC5S7u5NiAiIiIimeGVMwe6b0zL+5juzSpufiXyGNUGEzR8V7qFymoDAPAmGDVKEAQMSgrHmM7tbCbd1NWlfRAGJrLijS3VBiNSnl5qNW/70xMQF+onUURE5Ei3D+3Ypu3/3Hsery45jP/bfNpBEcnDjQMTrKaD/TQSRULubGRqJOJC/RDo44Uwfw2ignwQ2YLy/+uPFWDmwu247cttTLqx06W9Y6ymL1ToJIqEyDVS219sjfjX3mwJIyEiImc6cK4EH9lIvPn2zsE4NW8aTs6bhhnDkySIjIiIiEg+lDMsVEIXyqux9VQhusUE490b+8BoEnE4pwwGo2ipZEBkD7UggAVv3ENtSW2O6qPmCILQ7DpHcsuskkvmX90TcWF+GJESadf2SnbwfKnV9P1jOqEd33dEivHCFT3wwhU9cMlba3Esr7xV+5g9LgUzFXaR99UlGVbTPl5MeqCW6xgRgI1zxtlcVlttKj7Mz9J6Sm/kmUhb1a+8lVfK6pikfJGB3igo1+HnnVm4eXBC8xsQEZHb2XyiYY/RL2cMwPCUSAmiISIiUoYekcD6mbzm15jAd6WOoOWYeOMAQ+eths7Yuh5sX98xyMHRkDvz8VJBz3Z+biG/rBoA4M0bYWSHhZMDMGNZhd3rz/l1PwDgpSt7YPqQtlWDcHd94q1bMn6YfgITurVHvwRWCCJSktYm3QDAe6uP47P1p7D84VFIiFBGJbpVGblW00y8odaY88s+fL89q8l1kiID4KtRw8dLBV+NGt5eKgT6eMHfW43oYF/0TQhDl+igJvdBF+08XWQ1PbpLO4kiIXKNnBItCsrNlZ16xoVIHA0RETlL/cHFs8elYFxae4miISIiUoYDBUDqAt4UVhIm3jjAd3cNxufrT0GtEqBSCfBSCfht9zm7tn3m9wNY98RYJ0dI7sJHo4LexJGm7iCmps1Nflk12gf7ShwNuYN9/5mIPWeKseF4AT5dd9KubT5OP4FbByd4dNUblUrAqsdGY/ybay3zeFGfSFm+2pTZ5n1U6Y0Y9foaAMArV/XALYPdO2nxp3uHYsJb6yzTnvw9QPbRGUzo9cJyaFuYxb/+WIHN+YdfmgxfjdoRoXmU1Yetk+YWbcvCbUMTpQmGyAU+Xnux7Yi3lwqiKPI7i4hIgd68vjdu/myrZbpbLK/LEBEREdXHoZNtJIoivNQqzBieiOlDO+LmQQm4YWAHfHfXYHx8a/9mtz9TWOmCKMldFFbooDdKHQXZo7jSPKovp4Tl48k+wb4ajOrcDk9N7Wp3tbNzxVVImrsEWR78XbHvbLFV0g0AaNQ8fCFSkuf/POiwfXmrVRicFO6w/UklJsTPanrFodxG1iQym71od4uTburSqAV4q1Xw9lJhxrBEePO7tlUeGJtqNZ2RXdrImkTKMLlHtOXxZ+tP4VxxlYTREBGRswzrZN1S6q995yWKhIiIiEi+WPGmjb7ZegbP/n6g1durVRwJRBcZTSJY8MY9HDhXAgDYk1WMCd1YWpVaZlTnlrUdCPL13K9rWxWlDp0vRbfYYAmiISJneP6ybnjhr0Ot2vbGgR0w/5peDo5IegE+nvu5T62z7GBOq7Zb/dhoJLcLdHA0nstXw4Ql8ix1z1MW3TUE8WHKaPlIRETWFm07YzUd4M3KiERERET18apQG13WK6bV235x+wCceHWqA6Mhdxfoo4GfhslY7iAh3HxBMdiPN8aodf55ZJTd6+oMntvn01biTf3e4kTk3mYOT8J/r+nZqm3Pl2hRUql3cETys7yVSRXkOX65b1iL1t8ydzwy509j0o2DlVQp//OIqK6FGzMtj/smhEoXCBEROdXYLlFW0z/uOMsq4ERERET1MPGmjUL9vZE5fxr2PHcJrukX36Jt//XVDvy4PctJkZE7ah/sg3IdS964gy7R5mobUUENkwKI7NG5fRCOvzIFD41PbXbdIg+4qdwYk40yYGzbQKQ8H6892art1h3Nx9srjzo4Gnn4csYAy+Ofd57F0dwyCaMhubvmo012r/vA2BREh/AY1hlC/b0bzPPkBGpSvphQc2vEockR8NWw+gERkVK1D/ZpMC/UXyNBJERERETyxVINrZSepceMOYvbvJ93Vx3D9QM7OCAiUgKTCAgseOMWarvEqdgujuwgiiIOni/B838chEoQYBTFmtZyIooqdc1uP+mdddj29HiPTPSylYq4YMZAl8dBRM616tHR0BlNEEXgUHap3UkEGrWAUq0ec37ZZ5k3rVcMRqa2rKWfHN2xcIfV9MS316FdkA/8NGrcNrQj/jUiCQIPHD2OKJqPH3QGE0w1xxOP/rjH7u0fn9gZs8amODFCGpgYhu2ZRZbpnBItEiLYfoeUaXTnSLy36hiO5ZVLHQoRETnZdf3j8dPOs5bptGeXoUdcMCICfDD/mp6ICfGTMDoiIiIi6THxppWOFBnbvI/uscH484ERDoiGlEIURZahchM+GvMrdeZChcSRkBxU6gyY+u56ZF6obHyl5Rva9Bwii2EBAF64vDuibLSfIiL3plIJ8FWZR8rvzSq2ezu9UcSvu85Zzft+exbevqE3rurbsmqUcvPb/cNw1YfWCUj5ZdUAgJcXZ+DlxRkAgHtGJ2PulK4uj49ca/oXW7H+WMHFGcuXtmo/D4xrvtIetc39Y1Mwc8F2y3REYMMqOERK8VG6uWJd/45sM0VEpGSCIOD163pj2YEclFUbLPMPnDNXJB46bzUAYEDHMLx7U1/EhTIJh4iIqDk9IoH1M3lXuDGB70odQcsx8aYJoijit93ncKSmrLsAAYIAaPVGbD7f9sSbg+dLYTSJULNiBtUwmkTwz8E9+HiZbw6WaQ3NrEnurKhCh7m/7seI1Eh4qQR8vuEUjjtwNOfYLu2gEgT0ig/Fg+NSWEGpHlEU8euus1bzesWHSBQNEbnKHSOScO2AeFz2/gacbiqhsQmP/LAXj/ywt8H8D2/ph8SIAHSLDW5rmE7XNyEMGS9OxsdrT+BkQQX+2nve5nodwwNcHBlJ4foBHawTb1rhtWt69X7qZQAAIABJREFUOSgaaopfvXY7JmZPk0KdLjViZUYuAGB8WnuJoyEiImfT6o1WSTe27DhdhOHzV2PrU+PRnoOmiIiIyMO4deJNSaUeepMJRpMIvdEEg1GEwWSC3mguuf3zzrPYdqoQh7JLbW4f7OuFS3vH4rutZ1wc+UXfbj2NmcOTJHt+kpeiSr3NtiokP7XJF3FhHMGhZH1fWgEAWHYwxyn7X3MkHwCw6nAe3l55FABw96hkDE+JBAAkRQR4dGuCoko9/v3zPqt532w5g74JYRJFREQt9cnaE5i39LDUYVjc/+0uAMD6J8aiQ7i8P1+zCiux4XgBftyRhR5xtpMOP5neH5O6R7s4MpLCZb1jcVnvWABAeno6+g4ejt4v/NOifTzxyz488cu+RpePS4uCn7caEM3JIrX5IiLMj5+Y3AUpUUGt/hk8RZ8O1pU/qnRGBPlqJIqGyHkOF5osj9ccyWMbdSIihVuyP9uu9W4ZnICIAFb8IyIiao4qqxwB/14rdRjkQLJNvMkvq8bsRbsR4ONlGUHjaKVag6RJN/FhfrikG0cF0UUHz5eg2ggUVugQzhMUWasdKb/tVCFuG5oobTDkND/dOxTXfbzZpc/56bqT+HTdScv03ucnIsTPM2/WhAd4Y2rPaCzZfzHx6ZddZyGKIt66oY+EkRGRvU7mu7YlY48460o2taXPa/l4qfDk5DTEyzxxttpgxMjX1lims0u0AIAO4X7wUqlwqqAC/RJCMbpzO6lCJImF+GmQOX+aZVpvNKFca0CZ1oDiKh0u/2Bji/e5+nBek8vzyqrx+6zhLd6vpzlXXGU1rVGzbDQp05JTegDmgQOPXtJZ4miIiMiZRFHEoz82rCha18pHRzFJm4iIqAX2+QUitltfqcOQrxXrpY6gxWSbeDPpnXUorNC1attZYzuhd3wodp0pRkZ2KS5UVKNMa4BYZ+Re15ggdIwIwKyxKQjy9YIAc69SlWD+vznp6ekYM2ZMq+Ijakx8mD8O55ShtErPxBuZG9DRXHHj733Z+OBmiYMhhzOaRHR6aonUYQAAer/wD7bMHY/oEM8s0Xvf6BSrxBsA+HX3OSbeELmJ/17bC/+91tzexmA0QWc0wSQCB8+V4IZPtzj8+eon2tR318hk3DFC/tUmD563/XPklVbjyMtTXBwNuQONWoWwAG+EBXgjAf6IC/VrkADSVnuyipE4ZzEAc/Wbbg7du3LUT5j+a995JuqTIg2N8cKyTD2O5ZbBt16LNSIiUpZtpwqbXWfCW+vs399T4xHFVlREROThelWVY8ch90sucZXmszXkR7aJNxueHIv//HkQP+442+JtK6qNmNg9GhNZdp3cTFp0EFZm5CLYQ6tbuBN7EvTIfakE4Mo+sfh9z3mpQwEAlDfTQ1vJ/H0aXsQ/8epUCSIhorbyUqvgVVP5YXByBN64rjce/6npUZOO1q9jaPMryUCAd8PTtInd2mP2+FQJoiF3cf3Hm7Ets/mbIo7w/+zdd1hUd9YH8O+90+ggICgdxYa99xY1Gk3iJjGuSTZZTd3dZJPdtE3eVNN00+tueq9reqKxiy32gh1FQESk9zbMzL3vHwMjQwdn5t4Zvp/n8fH2OYgzc8v5nTM0KgimrI5fq3cFW0/l281/uSuTiTfkkRb01WF1hgmbUvJhNFtg0DL5hojIUw2Ndux1VGWtxaHHcwRZlrEjrRBl1SaYJRmWBn8kWYZZkiFJ1r9P51coHS4RERGpkGoTb3z0Wvz7miEQIOCbvWc7tG96QSX+9P4u/P2SBIztFeKkCIkcLyW3HAAw4ul1dsuXTIzDE1cMVCIkaoEsy7bplYfOY96QngpGQ44mCALmD4/E6fxKCEKjzNoGSVdCg9kDmSVOi2fmyy33+fTVa7D23qmIDFJ325TO+GLXGTzyw5EmyzUiE9+IXG13ehEWvuPa1nudFRfig6QHpisdxkVZ0cz1z6i4bhgUGahANNReG0/k4uaP97rmxVavdMnLhAcYkBDmB0myVo9dOCoa14yMAgAkMe+mWS+tPWk3fyKnXKFIiJxHlmXcs6nKNs+kGyIiz5ZVXNX2Rg34GbRY888pbnWv6mh2Ga5/b1e7t5+UEOrEaIiIiMgdqTbxxmyR8PWesx1OugGAzSetI8y2pRZgzsAe+OesvujXg/1FSf3WHcttdvlH2zOYeKMyDfJu8NK6FCbeeKC7vzqA8hr1V5qprLUgLb/CrW5mtNe7W9KaXb7vTBFGxga7OBqirm1nWqHSIbTL6n9MRv8eAUqHcdH+Oq033t+WbrfsuVUncPuU3gpFRG35OTkbd391QOkwHC63zIjcMqNtfld6kS3xhpr3/IIhHXpoQ+SOBEFAlck6fYsbtHAkIqKLs2JfyxnXP945EcMcXBFHCTUmaxWeZ68ahNFxwdCIAjSCYP1bFKAVBYgN/m6uSikRERF5BkEQhgCIQ4NcGlmWv29rP1WeHTy/+gT+k3TaIcdafTQHGYWVWP2PKQ45HpEzjYzthn1nigEAR5bOhrdOw8oOKiU2+L2cK65WMBJylp0Pz0BqXgUa5FjZVTqSYU3A+uT3DPyc7LyWVAatiJRnLnPa8dVszT+moP9jq5ssv+a/O/DbPZMxoKf7P1wnchd3z+jTrjZHsixDkq2VMWQZkFH3d8NpWNcvW3UcX+3ueJJ9YyNignD7lF6YkBCKAC/PaNfprW9aOYDnhOr2yA+HlQ6h0/wMWjzzh0Hw1msgCgIEWP+/CYL14boowLpcABK6+ykdruqZLHLbGxF5gLE9Ndh53oIRMd2UDoWIiJzsoTn98eXOTJQ30wr9D29tx9j4YDy/YAhiQ3wViM6xYoJ90Decg7iJiMj5Dnn7ISJxuNJhqNe6rYq8rCAIHwIYAuAoAKlusQzA/RJvPtt5psNJNyG+ejx0WX946TRofItLKwqY1Idl/8g9DI4MtCXeVNda4GdQ3VuUGogNEHGmTMLVIyKVDoWcwNegbVcP64ERAfA1aHDsfDl0ogCtRsDOtCKHxWE0S4h7yNpO4oHZ/XDn9ASHHVutTBYJS385itVHmq8C9n9z+6M/K9kRqZIgCNAIgMa+SR8yCipx04e7UVVrAeoScAorazt8/PhQXzx2+QD46rUQBAEjY7t5ZEKKTzOjJ8P9DbBIskf+vJ5g36OzUFJV26g/JSA0WFDfnjIlpxw3frALkgL5GYIApD03F4LA/0fOklnUsVYMRO7KXHf7cWdaISvAEhF5OEEQsP6+qRj73IZm1+9KL8LUF5Jw94w+0IoCas0SegZ54brRMXaDF4mIiOiCQaHA1iWi0mGolt9rir30OFmWEzuzo6qe6u87U4THfjzS5nZXDI1AgJcWAd463DopHiF+BhdER+R8DVvF/H66APOHMaFDzeoTb77afRbLrh6idDikEC+dptnff43JglqLBLNFxpat2zB63HhsP1WAB7871OnXemFNSpdIvCmsqMXnOzPtlvXu7osN901TJiAiumi/JGc75GG0RhRwSf9wB0Skfr27++J0fqVtPru0BkazpdmkHFKeXisiLMCrXdu+eSxVkaQbAPDRaSDJgIbPP5zmmz325zDzh0UoFAmRc5XXWj/IONiNiKhrCA/wwvp7p2Lmy5tb3Ob1Dafs5h/54QgenTcAt07u5ezwiIiIiBxlhyAIibIsH+vojqq6a9uem48/3zURQ6Lcv2coUXMajmAe3ysERZW10AgCBBHQiWKzbQdIOTVm64fWoEi2u6GmvHQaeOms79kgLxGRQd5YODoaC0dHIzWvAgcyi/HAtx1Pwnn0x8O4YWwsxPrWD6IAUbD2nRbq5gXAVgGuvj1WNx89fN2kilaPQC/s+r8ZdiOpTudX2ir/AMCYuGC8dcMIdPdn8i2RK5ksEox1Q9wlWYYsARZZhkWSIctyg2nAIlnnZVnG+N4hwLrOv254gAELewO3zZ/goJ9E3bJLqu2SbgDg+FNzeC6oUjUmC8yNLmbr266hvvUaLrRg++u03rhmRFST9mvWtmzW/bKKq3Dv/5I7Fc91Y6JtLaIE1P1df54gCCisNCLMv31JQtRx3Xz0dvM/HczG038Y5DGt8IgA62dVSrH1fOCOz/bhoyWjMb1fmMJRERGRM1Uaza0m3bSk1iK1vRERERGRenwKa/JNDgAjrPWtZVmW26zAoKoncIHeTW9EHXx8FoIa3bgi8lRpBRW26THNlO784M+jMGNA1xjl7Q5251gAAEfOleGHA1m4aniUwhGRu0gI80NCmB8KKmrx79UnOrTv5zszm1SDaa/Tz811ixYlmYVVmPLCpla32Z1RhPSCSibeELmQJMno88hvirx2SZUJI8O9u8yD60cbVQE9/OSlTLpRqePny3DZa8r0nG7JV7vPtrr+dH4FPl4yxkXRdD2f3jwG817fhmPny2zLymvMXebzi7qOCD8B2RXWpMN7vjqAQ0/OVjgiIiJylvIaEwY/ubZd2/51Wm/46DS4bUov24A0IiIiaupkeQJmbv5J6TBUTLFCLB8AuBHAYQAdyiBWVeLNydxyu/n7L+2LXw6dh0YQcDq/AvnlRpgsEh6c0x+xwT7sD0oeJy7E1zat14rQa0Rb5Yq4UB8MjWa1JzXqFeqLyX26Kx0GqVRptQn/OViD91J3QiOK0IoCNKK1Qo0oAn4GLSqM5nYdKzLI21bBpqHmCsY1/IYUBAHXjYmGu3xtRgR5YcHIKKw6fB5VtZYWt1v4zg4AgF4j4vDSS2HQ8oYOkTMJgvUm6ie/ZzRZ1/ijSW7wyVS/rr5STmf8+vdJOHd8X6f3dycWScbGE3l2y9heSr1ign0wtW937M0oanEbQbB+Adu+hoULf9nWNVhWXGVySqz1klLykV5QifhQ37Y3pg4TBMEu6QawbylM5AkEQcDSCd64ba21jeSvf5+scERERORMX+1uOgDs4cv6I9hXD40o4KrhkbbzWiIiImqf/iUHseNXPvdtiYJnFvmyLP/cmR1VdQd39sAedvMvrj3Z7Ha/HckBALy2aBjmD4t0elxErrb1wemIDvZROgxqQ4BeQFmtjA33TeXFJbVo1eHzddWRCi/qOOvvnYqEMD/HBKVyWo2IF68dihevHWpbJssy4h9e1ez2gT46CEqehhF1EYIg4F9z+uNfc/q3ex+j2YLEx9fA0p6esq2oNrWchOdpjOamP2thhRFhAWwNpEa+Bi0+udm11WOSkpIwbdo02/yslzfjVF5Fyzs0Y/+ZYibeONEDs/vhhTUptvlNKXlsw0MeJ63kQkJtVDcmlxERebKbxsfhuVX2FZuX/XZhXpaBa0ayEjgREVFHHPL2Q0TicKXDUK91ilWYPiAIwpcAfoG11RQAQJbl79vaUVWJNzqNiIzl81BWY8KQdpYuJPIkYl3yRmm1CdEKx0JtC/UWIGq1TLqhVi0aHY2q7FPoO3AILJKMxR/t6dRxukrSTUvKqluuCpRfbkTfR3+Dn0GL7Q9d0mzrSiJShkWSLzrpBgCGRAUhKdUBAbmBtPxKu/kdD1/CpBtq1bp7pyLuoZUd2ue+Fcm4b0UyDFoRq/8xhUk4DjauV7Dd/Fe7Mpl4Qx6nh69o/TvACzVmC6uzERF5sLZaRu3LLMbJ3HJ46zXQaUSIggC9VsSCEVEI9OE9GiIiInIr3rAm3FzaYJkMwL0Sb+oFeOlw6tnLkJZfiXu+PoATOeXNbnfP1wfx9uY0ZBVXobzG+kCufw9/fLB4NEs5k1sqqLAmzoX6GRSOhNrjTJmEBSNZdYuayi2rwaJ3d+JsURVkWB88Y+fuTh3rujExWDwhzqHxuaPU/ObPBRqqMJod8oCfiBzHR6/FqWcvw/pjuTBLMpJS8vHd/qwOH6c+qeCVwCz4GXQYHBmIHoGemYwyKDIQd07vjbc2nQYAjF+2EUeWzoafQZWXbqQS6cvmoqiyFudLa3C+tAZ3fLYX7flKNJolpOSUMfHGwQZFBtrNM0+fPFGgQbB9X41fthGb7p+GYF+90mEREZGTfLRkNJa0MJjsy11NW1EBwNO/HsN9s/rir9N6Q6sRnRkeERERkUPIsryks/uq9u6tTiOiXw9/rP7HFADA+dJqjF+2scl2xxv1Tj+RU46JyzfiscsTYdCK8PfS4vIhEdCIvNNF6mfQWkcPBHEkgOpVGs2wyEC4hz70o845lVuOvWeKseZoDtILKtveoRV/HBWNfy8Y4qDI3NvejCIseHtHs+uOLp0NXz6MJlI1nUbEZYN7AgCuGBqB564ehPMlNZj2YlKHj/XPb5Jt0xnL5zkqRNW5b1Y/W+INAAx6Yg1OPD2nzZGm1HUJgoBgXz2OZpehqtaMlxcOw/OrTyC7tKbNfRu3fKaLV39dV2/N0VzIssxKmeRxrhkRhbc2nUZptQkHzxbjkv7hSodEREROMr1fGDKWz0NSUhJ844bgWHYZjGYL3tiQinJjy1WKX1p3Ev16+ONSnnMSERGRygmCMB3AXQD61y06DuBNWZaT2rO/2zypWnnofIe2f/rXY7bp6loLFo2JcXRIRA5n0Fkz/00WiQ9WVE4jChAFawIOUb1Zr2xxyHEOPXkp/JlMAgAoqaptMekm2FfPxFoiN3M6vwIzXtp80ce5fUovB0SjXqIoYFJCKLalFtiWfbbjDG7z8J+bLs7Kw+dx15cHOrwfk0EcT2qm3JBZkqHT8N+aPMvbm61JokE+OrZTIyLqIgqrJSxu4T5NcxaNjsasRCZmEhERNTYoFNi6hBXhWuL3mmtfTxCEeQDeBPBU3R8BwAgAHwqCcJcsy6vaOobqn+rJsoyX153EGxtT29x2Qu8QeOs06Oarh1YUIAgCegR44ZqRUS6IlOjiedcl29SaJYUjobZ46TTQiky8IXuf3TIGvyRnAwD+t7fjrVTqDXlyLcIDDNj58Iwu/zAsyEePD/48Crd8stdu+UdLRvPmPpEbigzyxqzEcGw9lY8aU+fPd97dkoaDmSX4+ObR8NGr/pKmw6prLXZJN0/NH4jrOJCA2jArMRy3TY7H+dIa1JgsWH88r8197mAyl1M0N+pbx/YK5IH2nSkGACy9cmCXv24hIuoqkvMt7d720sRwPH5FIr8jiIiImnGkAOjzEZ8Hq8gDAP4gy3Jyg2UHBUHYC+ANAO6feJNVXN2upJuN901Fr+5+LoiIyHmMZuuFC3veqp9FklFrsY5cJao3uU93TO7THQDw7FWD8eTPR/FFC32u25JbZkStRWrSqqArmjEgHP+a0x//Xn3CtiyjoBLop2BQRNQpXjoN3rtpFABg88l8/PnD3Z0+1u6MIny3/xxuHBfrqPBU4/fTBXbzZwqroGWFL2qDQavBI/MSbfNP/HQEn+w40+o+72xJw8NzBzg7tC4n0Ltp6+Aak4VVTcnjxIf64nR+JY6fL8f8YUpHQ0RErvDpsdp2bffitUOxgAOiiYiIWsSKN61zdcUbAD0aJd0AAGRZPiQIQrvK96k68SavvAbZJdV47qrB+L8fDre6rb9X0xtbRO6msNJ64eLHFjOqJ8nWhJuIIG+FIyG10mnEDiXd3DGlF0wWGWZJggAgNsQX647lQm6U2xUb4oMhUUGODdYNxAT72M0v/eUYlkyMVygaIrpYRrMFogAsv3owHvq+9fP81lgsnjkq5JL+YbhvVl+8tO4kAOCDbelYPCEO0Y0+C4kA4Gh2KYorTRAEaw1cCIAAoc2km3pmi8TEfxfo/9hqPDpvAG6dzCpD5DnuuqQP1h/Pw6YTeXjosv5Kh0NERC5w5zADvk0D9FoRZ4uqW9zu5+RsJt4QERG1ghVvVKeyk+tsVPt0v9JoxphnN7Rr22HRQQjyYeINub/skhoAQFm1Cd189QpHQ62pT4YoqzYpGwip2p5HZuKng+dw+vRpnKz2tZVib847W9LafdxN909DfKivI0J0G3d+ud9uftnVgxWKhIguRkZBJaa9mHTRx/nurxMwMrbbxQekUv9enYK3N5+2zd89ow+TbqhZO04X4rr3dl7UMcySDBbYc43GicRE7u4Pb20HAFw5LELhSIiIyNk6ei235WQ+dqcXYUx8sPOCIiIiInKc3oIg/NzMcgFAu0ZRqTbxxtegxYz+Ydhwou2+9LMSw9kvnTzC0KhA/JKcrXQY1A5myZqF2lwZeSIAeGtTKl5Yk9JgSftK8TZn3uCedUPYgREx3RAX0rUf2iwcFYWrR0QqHQYRdUJrCYgdcbaoyqMTb/Zn2v87vb7hFF7fcAr+Xlok3T8NIX4GhSIjtRkZ2w2LJ8ThZG45soqrkVlU1aH9l109mO2PnGTByCh8uy/LbtmlA3soFA2Rc1w5NAI/J2dj7dEc3Da5F/Ra3psjIvJUJ3PLO7wPvxeIiIhaxlZTrVOg1dT8Vta92J4DqDbxBgDeuXEk7v76AFYdzml1O1a7IU8hCtYn63V/kYrV/65qTBaFIyG1utgRzdeOjMKY+GDMHxbJGxWN/G9vFv63NwsTE0Lw7o2j4Mv2fERu45qRUUgI88PD3x/GsfNlnT5OWIBnJ57cOC4Wu9OLmiwvrzGjwmhm4g3Z6LUinrxyIABr1diBT6zp0P69u/s5IywC8OK1Q5sk3hB5moWjovFzcjaSs0phski8biEi8mCXDuyBo0tnd+h8c1h012uVTkRE1F5sNaUusixvvthjqPpJVXZJTYtJN2H+Bny0ZDQGRgS6OCoi55Hq+hdJssKBUJsMWhGiAFQz8YZacMXQCFwx1FpyPSkpCdOmTQMAHMoqwZVvbm9z/xX7srBiXxbOFFbh/tn9nBmqW8hYPg9GswX9Hl1tW7Y9tRC704swvX+YgpERUUcNjQ6CydL5i8qUZ+bA4OF9cf7+1QG7+VPPXsYKn9QmX4MWGcvnAWg7CSfEV489j8yEKDLj31lqzU0/5zaeyMUl/cMViIbIOfr39LdN++g9+7uZiIiAZb8dVzoEIiIiItVS9d3biCCvFtfllRuRX250YTREzmesuznrzXLvqifL1gQpH72q8xdJhYZEBSFj+Tzbn/Rlc7H+3qktbu9j0KC6lgleAGDQahARaH9uMCLGc1vNEHkik0XC17szMSY+uFP7f/DnUR6fdAMAlw/paZve+fAMJt1Qh+1KL8Q/ZvZpcf0nN49h0o2TaUQB3f3tq1Pd/PFenO1gOzAiNduZVmibNjaTbEZERJ5l8YS4Dm0f99BKfLU70znBEBEREamMqp8YazUijiydjUEtjNQbEcuHbeRZArysb8lyowneHC2maqIooKevgLT8CqVDITcnCAISwvzwzo0jccdn+5qsf351CkqrTHh47gAFolMXs0VCdmmNbV4UgEC2myRyGysPncedX+7v9P6zYrWYMcDzK0VU1Zrx66HztvkegS0PRiBqTmZhFW7+eG+T5Z/ePAaT+4RCYF9bl9CIAkbEBGHN0VzbsndvHInoi2xHSqQWsizjri+tFdo+XDwKXhxARETk8RLC/NveqBFezxAREVFXoerEGwDwM7Qc4tFzZRjfO8SF0RC5hsib4W5Bw18TOcDZoipkl1Tjy10tjwD6ZEcGbhwfi6huXftBTWWjyj+SDJzMLUff8I7f+CEi1/vv5tR2bRfqZ8DbfxoBX4MWA3oG2JYnJSU5KTJ1YeVDuhif7TyDx3480mT5un9OgSAISC+ohCAICPM3wLeVa21yjPnDIu0Sb2Z2geRB6jrMDVpks4UaEZHnK6gw4vZPmyZ3t2bT/dMQH+rrpIiIiIiI1MUt7rTNSgzHumMXblYNiQrEmLhgjGTFG/IwtRbrnSuLJLexJalBtRnIKatpe0OiFmQVV2Hy85va3K7GJGHSvzdh58MzuvRIoUBvHW4YG4MvGiQpXfrKFtv07v+bgbCArvvvQ6R2R86VtWu7ggojFry9AwDw/IIhWDgq2plhqQ5PA6mjZFnG2mO5OFdcjad+PdbsNrMafF/Wy1g+z9mhdXlnCu3bStVaJHiJTK4jz1BmtH5h8d4cEZHnq6o1Y9Qz69vcrn8Pf5zIKcf0ft3x0sJhCPbVuyA6IiIiInVwi8Sb924ahekvJiG9oBIAcCirFC8sGAq2pCdPo6sroZJbVoNwPjxWvUg/EcVVtUqHQW6sZ6A3/jWnPzaeyIUsA5IsY39mSYvbj1u2ARvvm4pe3f1cGKW6/GVqb7vEm4ZMfFpNpFq/pxa0e9tRsd0gyTJC/AyYndjDiVGpU8M2ln3Cuu7nPbXfL4fO4+6vDrS5XWyIDwQAMoDbJvdyelzU9D38xsZTeGB2f4WiIXKswwXWapQTE0IVjoSIiJytsKL1+5+LJ8RhwcgoDIoMdFFEREREROrjFok3gLUs4S/J2fh73Q3F2a82HbHXkv/dMR5j4oOdFRqRw5RUmQAAPnq3eWt2WTUmCw4VWABUKx0Kudhvh8/jr1/s7/iOq1c65PXT8iu7bOLNwnd2YHd6UZPlOx6+BD0DvRWIiIjaYpFk/Ou7Q/h2X1a799l7ptg2PfSptfYr6z5Lv7x1LCZ46IM+o1myTZ/Kq0DcQ9af+cBjs9CNI0apGXMH9cDRKb3wzpa0VrdrWH3l0R+P4NFmWlK15pZJ8Xjs8sROxdhVDYwMsJtnOx7yJKszrPcv4kO7djtcIqKuYNlvx1td//HvGdh4Ig+r7pkMP7YzJSIioi7Krc6CrhgagXmDeyKtoAL7zhTjX98dbtd+y347jiUT46ETBWjq/oiiAI0gQFs/LQoQBcFWRUcQ7Mvp1M/56DXoE+7vwJ+K6II9GdYHyhVGs8KRUFvkBoU1KoxmXlR6iNJqE5LPlkAjChAEQCNYvyPqCQA2n8xXLkAA3Xx1ir6+ks4WVTW7fOOJPNwwNtbF0RBRe5gsUoeSbtrr6ZXHMSsxHKIACBDQJ9wPcwf3dPjrKGFgRECzy//+1QE8e9UgxIb4ujgiUjutRsSfxsW2mXhzsU43qMZE7fPmxlS7+fOl1QDYloc8w9QoHb5JqUW5La68AAAgAElEQVR2CdsvExF5ulGxwVh1OKfVbTKLqjDoiTW2+dcWDcP8YZHODo2IiIhINdzuSbEoCkgI80dCmD+uGRGF5KwSXPPfHa3ucyCzBAcy2y693WGrV+KB2f2gEQXIMiBDtnsYL0ky6mcFALdN6QUvHfu5U8uGx3TDtlMF6MfkLtXz0om2aSbdeI7J/96IshrXJ75pRAE6jQC9RoReK6KghRK+Hy4ehZGxXa+CW15ZDcY8t6HF9b1Cu2YFICJ34KXTIGP5PNSYLDBLMqqM5lbfz+11/HwZjp8va3O7af264783jIS33n3OwQVBwM93TcSVb263W74ttQBTX0jCn8bFYOmVg6Bh311qIDrYBxnL58Eiyej9f6su6lh3TO2FqX27Y0Jvz6wq5UqNrxPu+vIAKmrMWDQmRqGIiBxnaHcNvkkBPtyWjjunJygdDhEROdHNk+IxpW8oZr7c/i4ETMwkIiKirsatnxZrNSJGxgYjY/k827LyGhPGPLsB1SaLS2J4YU1Ku7d9ad1Ju1iJGssprYYo2Cd1kDrVVyUKDzAoHAk50vt/Ho3XN5yCRZIhyTLOFlUhu9S5NwqOPzXHrR4Iu1pxZW2Th/Tv3zQK/l5aBPvqERviC72Wn5lEaleffO5n0NrOhyVJxuAn16Cy1nnn7Ukp+cgrr3G7KjFDooKQsXwe3tqU2uR64/OdmRgaFYRrR0UrFB2pzU8Hz+Gerw867HjvbE7DO5vTsP7eKUgI44CAi5FfbmyyLDzQS4FIiByvp681AXRYdJDCkRARkSv0CvXDtSOjsKKFiqa//n0SBkUGujgqIiIiIvVw68QbAJBlGUfOlcEsSRAEAQKAr28fh/lvbW9zX1f7aMlopUMglcsqroZFbns7Ul59VZTRcV2v+oineWPDKby64RQEADKs3yuSC9+HvyRnN5s4MiEhBGH+fDAz/Ol1dvP7Hp2JED8mvBF5grPFVU5Nuqk39YUkAMCImCB8/7eJTn89Rwrzb/7z7uoRUS6OhNTqP0mpeH51+weDdETDEc2j47phxV8mOOV1PNmDc/rj+wPn7JZlFVcrFA2RY23Jsl4T51c0TTAjIiLPUlhhxF8+34c9GcUtbnP5G9sAAOnL5kIQ3Lc65wMrDsHXoIFGFCAK1j/WaWs3Bk3dMlGEbRsvnQaPzB2AuFD3GvBBRETKGhQKbF3CQcUt8XtN6Qg6zq0Tb/ZmFOHRH4/gRE650qG0ilVuqL32nrFevKTmVaAP202pWlVdxZtfD53Hm9crHAxdlJfWnVT09R/87lCzy0UBSFvG74/GmJtI5BlqTBZbQoyr7M8sQdxDK5ssf/+mUZiZGO7SWNpjU0oeHvi2+e8Itpmiel/vPuuS19mTUYzBT6zBN3eMx4Ce/m79MMWVegR64dObx+CmD3fblp3Oq1AwIiLH+eiotT3u+F4hCkdCRETOdiKnvNWkm4Z+Ts7G/GGRTo7I8RIjAnD92BiU15ghSbKtGrZUN0Cv4bxFkiFJgNkiodpkwdHsMswcEMbEGyIi6pAjBUCfjySlwyAHctvEm+SzJVjw9g6lw2jTH4ZFKB0CuZHrx8Tg498zWM3BDUR287ZNS5IMkQ/A3Fb6srkwWWSYJQmyDEiyjENZpbjh/V2KxTR/WAQWT4hT7PXVZGx8MHalF9nmRz2zHl/fPg7jeIOfyK3lOLmNX0fUt8FSE1mWseSjPc2ue++mUS6OhtQss6jKZa9VbjRj7utb7ReubprMBgCT+4Tis1vGuiAq9XtzY6rdfLCvXqFIiByrV6CItFIJiyfGKR0KERE5mdyBUVBvbEx1y8QbH70Wz101uMP7ZZdUY8LyjU6IiIiIiNyNWybenMgpc0krKR+9BnddkoDrRsc0Wbdrx3bMmTnd6TFQ1yLVXcWUVNXyhqzK+egvfHxywK97EwQBeq0APS6U9JuYENqkWplFkrH2aA7Mkozcshqczq/AV04aZf7aouFOOa47evaqQXatLgAgMsi7ha2JSK32ZBThWhclzY+ND8ZfpvWGn0GLUbHd3LIyR42p+dEuD8zuh1kqrM5Dymmpuuqvh7JxKvdCZZV1x3Jx7HyZq8LC1lMFiHtoJZ64IhFLJsa77HXVyCzZv58HRgQoFAmRY6WVWv9vrz+ehxvHxSocDREROdPEhPYPfkrNq0D/x36DJFsHFEzrF4Y3rhuuygEPRERE5B4sJdUo/uGo0mG0yS0Tb/LLXdM/uqrWgudXp+D51SnoEeCFpfMH2k4QTxZbYEjJAwDEh/iquoxgVnEVyoxszuEOPt1xBgBgsvD35U6qai3wNbjlxyk1o6rWjL99sR+/pxZCFAEB1j7OlbUWl7z+ndN7u+R13EVCmH3bva0PTkd0sI9C0RBRZ9WYXPMZCgB/nhCH6f3CXPZ6ziC1MKT0hTUpuGp4JCKYgEhtmJUYjsd+PILiKpOicYSykic+WjIGQ5eutc2/vzUdMwYwgY7c39DuGiTnW5Caq+7270REdPE6Opih4UCCdcdykV9u5L0cIiIFlNWYkFMpwWyRoNWIbe9ALjUoFNi6hL+Xlvi9pnQEHeeWT4on9+luG9knyzKMZgn9H1vt1NfMKavBHZ/ts1+4z778+/PXDMHC0dFOjaMzJv17EwDgf2d34ZObx0DDljiq9adxMfh8ZyZ6BHgpHQp1wImcMoyMDVY6DHKQ86U1SErJt8647jkxAOtDsnmDI5BRUKnqhE5XGv7UWrt53qghci+yLKOkyoSUnHLEh/qi4WmoLAMygNJqE4oqax32mn/7Yr9t+ue7JmJIVJDDju0qXjoNwgMMyC1rOuBg1eHzuHVyLwWiInfy44FzDk26+fHOiejub4BGsCYkywD27NyByy9lFdi2BHrrMK5XMHamWVtn7kgrxIbjuUy+IbdnlqxJorszihWOhIiIXOHFa4fi/hXJrW6z8u5JCPUzQKcRodUI0IkiDFoRIp9HEBEp4ueD2Xh0azUumVKLMH8+dyRyNrdMvGno1k/2YsOJPKXDAABEdVP3yNNtqQX4xzcH8cZ1bGGiVmn5lQCAzKIqDPYJVDgaao3cYCT65zszmXjjQXp390Pac3NhNEuwyDIsFhlmqW5akmG2yHh782l8sSvT4a+97lgu1h3LBQA8d9VgXD+2aavDrqbxQ8PyGhP8vXQKRUNEHfXMyuP4YFu6Yq/vrhXpvt+f1WzSTZCPDn9UYaI/qc9lg3vif3uzsO/MxT8QDw8wICHMD36N3k9+ej5Aaa/6pJt6t3yyt8U2YUTuov40/b2bRiobCBEROZ0sy9C2I3lm3uvbbNPpy+a6ZdtfIiKPxCYbqnSkAOjzUfPt5sk9ueed6AZuHB+LLafyFW/N463T4NGfjuDzW8aiZ6CXak8qE3uyn7ya/X66EACQX1EDgIk3alZhNNum77u0r4KRkDOIogBvvQZDnlyDshpz2zs4WEywD+YO7uHy13UHqXkVGB7TTekwiKidrhkRhW/3ZaG0Wpl2NzNe2mw3H+pnwJ5HZqj2XL2eRWr+2qakygSjWYJ/s2uJAEmS8ePBc6gwmnH1iEgsHBUFjSjCZJHw8PeHO3XM3DIjBj2xxjZ/dOlst01qU0J2SXWTZa/8cagCkRA5VnXdfbg3N6Zi+TVDFI6GiIic6Y2NqXh53ckO7WORZGg16r7uIiLydPW3v5h3o05sNdU6tppSwLR+YTj17FysOZrTtBWUC1WbLEjLr8SE5RsBAEOjAvHTXZMUi6clHCHrHowmZjiq3ZnCKts027d5rj+OjsZ7W11fqSGzqApBPnqXv67aNKwsVY9JN0TuJTEiAMlPXIrcshpc8cY25JU3reLiSgUVRsQ/vAofLh6FS/qrt83LnEE98MuhbGxPLWyy7lBWiapjJ9cxWyTcvyIZPx7MdtlrDosOgo594TskIsgb142Jxle7z9qW9QxUd7VcovbIqbSeq2cVN00uIyIiz3Ll0Ah88nsGCtvZIvip+QOh5TkjEZHiBFifXTVzm52InMDtE2/qKZl005zkrFLEPbSyyfIJvUPw4eLR8NJpXB7Tz3dNRLAvH+S6g13pRbhscE+lw6BWNGwtt/9MCeYN4c1zd2eySHhgRTJ+P10IrSggu7TG5TEsnhAHAPjD8EiXv7YaxT+8ym5+TDxbuhG5q9N5FYon3TS0/LcT+HKX9SF4WIABj84bAB+9ei6Ngnz0+OLWcag1S+j76G92627/dB9Sn5urUGTkSs39/m1WN73WdIXe3f2g1/IhSkf9bVqCXeLNW5tSMa5XiIIREV28PkEiUkslfLh4tNKhEBGRk8iyjC93Z+KRH460uE1izwBoNQJKqkzILLIOVLx8SISrQiQiolZcqHjDzBsiV1DP3eUOyi2rQY3JAo0oQCMKGBodhOSzJUqH1abfTxeitNqkSOLNlW9uZx95lesV6ou0gkr068EGAmrXsNXUnV/ux6DIaYgN8VUwIuqsEzll2HG6EJ/vPIPT+ZUOP354gAGPjdJg8uRJ0IgCRAEQBaFu2jqv9pYnSvnbtN74T9Jp2/zu9CJMXL4R2x+6RMGoiKgzJiSENnseKssyZBmQZBllNWaMeHqdS+I5mVuBk7kVtvmx8cGYP0x9SY96rYgRMUHYn3nhOscsyZjz6hb8eOdERa4pyHU0ooBJCaHYllqgdCg2BRVGvFLXZiAjoxYHTNbpxrfwNIKAWybHw48tqQAA0cE+eOfGkbYBQ1tPFUCWZZ4DklurNsvwN2iZjEdE5MEqay2tJt0A1iqnL17LNppERGpUf8XJijdErqH6u2C3fboX647lKh3GRfPRa3DsqTlKh4Fr3/4db90wAmH+XkqHQs1IK7A+9DfwxpXqNX4PsVy8+5rz6lanHj+3zIi7NgLYuLZT+/9y1yQMjgp0bFBu4sE5/ZFVXI2fky+00DhXwlL2RO7ObJGQ8EgLVTwUcs/XB3HP1wex6f5piA9VVyJtw6SbeidyylFhNDPxxsNpRAGf3zrWNm+ySHhxbQpW7ktHVoUyd802n8zH5pP5FxacPtXitrnlNXjuqsEuiEr9TudXNKnSy6QbcndBXiIESad0GERE5ER+Bi2+vn0cFr27s8Vtvt2XhW/3ZeGb28dhLCv6ERGpCi871e1IAdDnI0npMMiBVJN4Y7JIWH0kBwBsVQA0oqCqkvStCfUzYPnVg+0+xIS6KgYCgJGx3RSLraE9GcV49IcjePemUUqHQq1YfzwXV4+IUjoMakXD93qvUF+O8nMz64/l4tZP9yodRpu0ooDu/galw1BMUWWtXdINEbmX308XIK/MCKGu0lf932pW2aCinZqF+Ruw7lguFo2O5sN7N/fMr8fw/rZ0pcO4KFcPj0R0sI9tXhCsfeRvmRyvYFTq4i6fLUQdUWuRIYoCqzcREXm4sfHBWHb1YDz8/eFWtwvx67r3r4iI1I4Fb9RpUCiwdQmfLbbE7zWlI+g41STevLAmBe9uSVM6jE4L8tFhZmK40mG0y9pjuRj4+GrsemQmS3+rTICXFmU1Zqw6nIP5b22HQSvCS6eBl1aERhRQVmNCcaUJJVW1iAr2weuLhqNHIKsXKUGnufBlmFZQiUteSoJBq4FWFCDWtRMSgLpWQkKTh471f9e3GWr4d/16QbjQikisS+JruI0oAuezjVhXfNjuWPXHtkgydqYVwteghV4jQoYMSQZQ19JDkmVc0j8Mf5uWAFHsWjdKCyvVm9R588R4PH5FotJhqMJ/k1KVDoGImrH1VD5u/GC33bJxvYIhy9bStTJk7MkoVii69nn+miFYODpa6TDatPVUfrPL88qNePj7w5jStzsig1h1z525e9INAPx5QhyGRgcpHYYqFVfW4svdmXhhTYrSoRA53PAwLb5JqcLGE3mYMcA97ocREVHHCYKARaOj20y8SQjzc1FERETUXkJdsymZvaZUiRVvPI8qsi4KKozIK6tx6DFvmRSPCb1DbH3rmlSiqe9sJ1zocZfYMwBhAe1LYkhKSsK0adMcFq8zfXnrWFz//i67ZZW1FoWiodZsuG8aLnl+PcpNQPLZpm0FGsourcGu9ELMHxbpouiosfcv9cGta6swMCIAcSG+qLVIMFskWGSgutaMSqMF1SYLqmstqDFbUGOywGiWHN9PMyuz07vuzyzBdWNiutyolD+OjsEfR8c0uy6/3Iij2aWQAWgEwZZMVV+N7dt9Wfhqd+f/zdtyIqfMacd2N+9ttX8Y2S/cHw/M7qdQNERU71/fHmqybGdaEfRaEXqNCJ1GQKifAQUVzklyvGVSPCYmXDjPtyb7WG8iSDIAyA2WwZZ46q3TYOaAMLcald84wamh/j38mXTjATKWz4Msy3b/j+v/7z6/+oTLEnNe+eNQ+Oq1toqt1iTwuuvmumvmYdFBCPLR2/Zxp2tiJZTVmDD86XXNrjuugjbURBdrbE8NvkkBNjDxhoioy5s3pKfSIRARUXPqboEx70Y9BEG4HcDtABDd04DjrHjTIla86aStp/Lx40H7VhLf/XWCatozuTuTZP+J+vGS0ZjWL0yhaKg1oX56GBskN4oCMKVvd/QM9EKPAG/0CDSgR6A3egZ6ITzAC4He7KeuJK0oIGP5PGxPLcANjZLbLpYgAIa6B5h6rcY6bZu/MF1eVoIe3UNh0FofdNav02lEVNSYsWJfFgZGBOChy/pDIwoQYF8ZJzLIu8sl3bSlu7+h1c/IkbHdsOzqwe0+3nf7snDfiuR2b//76UIkPr4aExNC8dqiYfDRq+KrWhUSIwIwqU+o0mEQdXk+LVRMrDVLqDU7ZpTGt38Zj1FxwXbLutpD/lfWnWyy7IHZ/XDn9AQFoiFnqj8vq5uzLS+rMbkshn9+0/Rc5YkrErFkIttFddbH2zOaLPvhbxMwPIb3Ocj91Zgs+Pak9TNqxd6zeODSfujmq29jLyIickeyLMPYwnXenIE98Mb1w+0qgxMRkXrU32Fg4o16yLL8LoB3AWDEQH/+ZjyMKp7m/WFYZJMbfX3CWZrQUXqF+sKgAYx1RW4Wf7QHr183HFcOjVA2MGpCEARoBaC2bl6SgaSUfKy8exIGRgQqGhu1rLu/4xNXZBmoMUmoMUlYdfd4JEYENLud9SHkqBaP88K1Qx0eG3XMmPhgBBkElBjbfw5VVWvBumO5OFNYhQE9m//ddwX/uWEE/vbFftv8DwfOYWJCKBaMjFIwKqKuaeWh87jzy/1tb+ggbKUJvLbhlN28n0GLGQOYPN+VPL9gKP63N0ux1x/G9lEdVlhhxMhn1je7LiHMD7Ehvi6OiMg5cstq8Hu2GQBw7aho+LKNORGRx1r80R5sPtl8C9zVR3PQ55HfsGh0NJZfM8TFkRERUVsMOg0AwGhmFxQiV1DFlfHu9CK7+Yzl8xSKxDNFB/vggVFeeGaXtZ1X/x7+uDSRZYDV6s0ZPsjyisfjPx21LfPjTSxV6xvuj4zl85BXVoOSahMqjGaYzBJMFhlP/3oMKbnlnT4220i4v+hgH7w63adJlYbPdmTgsQbv83qb7p8GP4MWfgYtvPUa1wSpUg2Tbt66fgR89BpM69ddwYiIuq70ggrHH3PZXLdq+6SUodFBWHHHeOi1HEXa1Xyx60yTZXdO742R+vO4ZPp0BSKilpRWmTD0qbVNlt88MR5jewVj9sAeCkRF5DzBddVtHr6sP+6Y2lvhaIiIyJkWjIxqMfGm3s/J2Uy8ISJSIamuI4pG5P03IldQxdP8jSl5tmmOYneOEG/rh6pGFLD6H1MUjoZaIwBYf9z6nlgyMQ5PXDFQ2YCo3cICvOBr0GL2q1uQVVzd5vbXjYnpUMsi8iw3jo9Dz0Bv3Prp3ibrnFFFyd3kldXYzY+JD+a/C5GC7rqkD+66pA8AoKSqFnd+uR/bUwtt6xPC/JCa13JyTq/uvkjLr7TNXzaID6Hb69ZJ8Uy66aKm9LmQbPr45Ym4eZK17VNSUo5SIVELFr6zw25+/b1TkBDmr1A0RM4n1XUc4Q18IiLPN7mFlt/T+3XHG9eP4IDROlW1FpRWmyAKgCgIEOvayZolGWaLZJvn4BMiciUZ1sQbfvYQuYYqzore2Zxmm/7TuFgFI/Fc3bxETOnbHVtO5iOntIbl+1WstFbGlrpRBPdf2k/haKij8suNrSbd/PuawRAEAXqNiDl86NjlzUwMx/Gn5mDA46tty+a9vhXHnpqjYFTqEBZg/z1VY2I5TCK12JVeZJd0A6DFpJuJCSEYExcCg06El1bEojEx8NJ17Wpe7fHID4dt0/nlRgUjISUUVBjx7Mrj+OHAOduy3mFsxaxmC0ZG4dlVx23zKw/l4J6ZTLwhz1V/A1+S299Ol4iI3JO/lw7dfHQorjLZLd+Uko9X153Eo5cnKhSZOmg11ofZS385hqW/HGt+o7W/2SaFusQcTV0ijjVJx/p3fHdf/Pi3iRCZ2EpEDiLWJdxYJJ63E7mCKhJvrhoeabupOCQyUOFoPNfO09YHJL8kZ+O2Kb0UjoZacrrEOnTsquGR7JPuhvIr7B+OaUUB146KQs9Ab8wb0hO9u/OhCV1QXWuxS7oBgJV3T1YoGnWrMJqVDoGI6iR0IAFge2qhXZLOk3U3ItlatnVf7Mq0TS+ZGKdcIKSIU7kVdkk3APDnD3djbHwwPlw8WqGoqDU3jIuxS7x5Zf1JvLL+JD/ryGP56K33KnJKmRxKROTpNKKAz24Zi8vf2NZk3X0cNIowfy+8df0I5JfXwCIDsixDkmVIsjVB9fTpNMTFxUOSAYssN1kvy9ZWMAfPlmDvmWLUWiR4iRysQkSOxYI3RK6hiqf6EUEXRrUzm9d5ai3WhI5b6kqUkzplV1h/T4/OG6BwJNReVbVmJJ8txZ6MIry87qRt+SNzB+CmCbEwaHmxRM274/N9dvNf3TYO8aG+CkWjbvvOFGNAzwClwyDq0iYu34hzJW23UmzLjaxw2abbJsfjva3pAIDMoirEhvC7oSsZ3zsEx5+ag1c3nLSrDrsnowgWVpdQJR+9FhnL5+Gng+dwz9cHbcvjHlqJI0tnswUDeZz6SjeseENE1DX8nJzdZNlPd06Et573PAFg3pCeLa5LQhamTevT5jH+k5SKvWeKHRkWERERuZgq7v7sSb9wQjFh2QZkl9a0a7+HL+uPO6b2dlZYHmPF3rN4YHWlbb7vo7/BS6fBuF7BeOO6ETxBVpGtp/Lx3SkTBkcGIsTPoHQ41ApJkvHGgRosXr3SbnlMsA+GRgfhmfmDEOijUyg66oz1x3Jx66d7nfcCjf6vNOe693biwGOz0M1X77w43NTzq0+wHSWRwvr18HdI4s1nO8/gs51nOrdzOz5LO+KFBUNw7ahohx7TERr23p76QpJtOszfgN/umczzxC7AW6/B5YMj7BJvJBmY/O9NkC1m+O2wv24eGh0EAcDBsyWuDbSZ96S3ToMtD05Hd/+u9/90/rBITO8fhiFPrrUtG/TEGrttZg4Iw7s3juKgI3Jr9W0QTRYJtWYJeq2ocEREROQsGQWVeHdLWpPlQ6ODFIiGiIg6orrWAsD6PIuInE8ViTfvLx5luzHV3qQbAMgqvvgb/11B45uvZklGhdGM9cfz8N3+LAzo6Q9BECAKAiySBLNFhkWSYZZkmCUJo+KCEeDFBAJXePDbQwCA/j38cSq3HGH+XkzeUKmiqlrsy7XY5hPC/PDCgiEI9TNArxVhliSUVpug0wjQiiJ0GsHuIRqpT1ZxldIhAACe+Pko5g+LgNig17NGbNj3WYBGhO1zW2ywXBSt09W1FgR469yyeo7JIiElp7zJ6NmyGjMyCioR54Y/E5G7MFkkHMi0njcatCK89Rpb6WtZBu6d1Re+Bi1+qRvt6K3TYHhMEGrNEmrrHrydyClX8kfosNP5lW1vpICcFq6J8sqNyCs3MvFGRY5mlyK/3AidRoRWFLApJR9f1CWWWerKyNe/h+pLywOADKBvmD9uGBdjna8rSy/XT8M6f+XQCLsRxqXVJgBAWa39/5FkVyfctKLaZEFJVW2XTLwBgAAvHfY8MhOjn13f7Pr1x/OQVVyNmBAfF0dG5Dj1bWC/2JVpa4/oq7cm3fE7iojIs+iaSa7858y+CkRCREQdlVFofeZR3xGFiJxLFYk3AV46dPPRobjK1GTdd3+dgJGx3RSIynOMiutmuxHS2KM/HnH46w2JCgQAlJVVw//wNsiQEepnwCsLh7GKQxvGxAfjp4PZWLEvCyv2ZdmWP355Im5mizBVsUgydCJgqjtfSc2rwFX/+b3F7e+Y0gsPz2X7MDVbPDEeiyc6532WlJSEadOmIbOwClNe2NTqtj8nZzdbwvdizB8WgdcWDXfoMZ2h2iyjzyO/tbj+lfUn3eLnIHIX+84U45r/tvzd1ZZqkwW/ny50YEQd8/afRmDOoJZLeruzp+cPava74JoRUWy7pyJHzpXi8je2dXr/lNxyPP7T0U7tqxEvJN9ap63zknzhgTgARAR64d2bRiGxZ4DDK6zUn99QU939DUjsGYBj58uaXX/jh7uw+YHpLo6KyHHqkwAbmpAQCl+2VSMi8ji5ZU0HBbyy/iSWTIrjYF0nOJlbDi+dxnZ+bzvXFwVo6gfg2aatg/AMWg2rzxFRsxIjrPeQFr27E4efnK1wNNTYyfIEzNz8k9JhqJj7VddTzRXx/sdmIbfMiHHLNtgtf39rGkbGjlQoKs/wh2GRyEo9gdi+iYgI9IIMa9KAJMv4YlcmVh4679DXO5RVemGm7ML0mqM5WDQmxqGv5WleXjgM/XVF2F7sh22pBbblT/16DPvOFOOtG0YoGB01FB7ghdem+yBqwHAUVBhRY5JgNFtgsshYfywXa4/l2m3/zpY0vLMlDU/PH4gbx8cpEzQpLibEBxnL59nm92cWo8pogSAAAqwXzn4GLSRZhiRbP6vlummpbtS8JF2YluuWWz/Tgb98vq/Z1/3pYDb+MrW36h/Wauej7fQAACAASURBVBo8D7xpfCwuTewBb70IWbZm5TMRl8hxPt6ejid/Odbh/Z5fMATdfPQQBdR9dlkrcgmCYP0cq6vWJaBuWYPp+n2sS2QYzRI0ddXg6qt81JNRV/LDNg8cPJiMoUOHAgD8vLQY5sGlzQN9dMhYPg8zXkqyVeW5aXwsHrs8UeHIqKHT+RUtrosM8sZlg3pAFAXbe0UjNnjPAIgJ8cXUvt3t3zNo8N4SAU2Dynf1N9e3bNnMhBc3sOqeybbpZ349hve3pdvmzxRWwWyRoNXwAQm5p/pS9Z/fMhaT+oQqHA0RETlTRKB3k2U/3TmRSTcO5qXVAACufHN7h/f1M2ix7V/TEeTDQc9EZG9SgvVcvbzG3MaWROQIqkm8EQTBrs1H/x7+sEgyll45UMGoPIMgCBjcXYtpQyOarJvQOxRvXW+dfvj7Q/hq91mHve59Iw2YOn4UAGvWdb8e/g47tqfSiAIGhGjw12vGIu6hlXbr4kJZilxtfHQChkQ1fei3cFQ08suNzZaX9+dFKTUwIsaxiSQZy+dhT0YRrn17R5N13dzg4lvfIPNmSFQQb+ITOVFsJ9u21bfFrPfywqG4ekSUI0JqkylL0+U+Fxq2wlp65UC2rVSZMH+vFtdt+9d0/r7I5sE5/e0SbwCgz6O/IX3ZvBb2IFK3+so2W07ld7nvZiKiribEz/5+0vLJ3hjqwYMglHLdmBjEBPvAZJHqWtZaE10vDLi7MEjPOjBPhkUGDmWV4KeD2SiuMjHxhoia8NJxsAeRK6km8QYA4ho8AHjz+uFICGOihiutPpLj0OO9tM+ImZNE1VdYcAf+XlosGs1qQe6ku78B4QEG5JYZbctCfPUYHR+sYFTUFQyMaPqZ+8DsfugR2PLDQTX6T1IqFox0zcN8oq5ElmU8+fNRfLLjjEOOl9jMZw45jk4jwGSxVhX447s78b87xiscETU0vncIbp/SC+9uSbNb/uxVg5h0Q3b0WhEr756Eea9faE3WsMoXkbsxS9aeywN68r4dEZGn0zZqV/p7thmLFIrFk3nrNZiZGN7h/X48cA4/HXRsy3oi8hw5pU3bBRJR8wRBuLq19bIsf9/WMVSVeGM0S7ZprcgsPFdKPluC4qqmPbov1uaT+Uy86QSj2WI3X15jxuaT+fjTuFiFIqKOuvGDXXZJNwBQWFmLzMIqRAY1LdFK5Cg+ei2m9O2OLSfzbcteXJuCO6cnKBhVx83oH6Z0CEQeSZLRrqSbv0ztjf49/OGlE6HXitBrNDBLEkRBgAxrUrCjq3ZRU5/ePBbXvbcTALA7vQgmiwQdW9OohizLTZJuAOCRH47g+jExTL4hO2zHQJ6kPnFM5OccEZHHa3xO+/NpE15XKBYiIuoYjcjzdaIOuKKVdTIA90q8afgwOr2w0q4CDjlHZmEVprywqdVtfrxzIkL99BAFARpRgCBYb65oBAGiIEAQL8zXr9OKArZs2YxpU3u76CfxLPevuNDGYeuD0xHsq7eVciZ1K6mqxbCn1tnmJ/cJxdPzByHYTw9/g5YPYMip/pt0Gv9efaLJ8tcWDVcgmo6TGgz9voPfH0ROoREFpC+bC5NFRo3ZgiFPrm12u2/2ZCKymzf0GmvijdkiY++ZYtv6O6b2QmpuBWYmhiPYl+WsnaW0utZuXmKJDFURBOv7qdpkwdO/HrNr2/vK+lO4d1ZfBaMjNXl53Um8vuGU3bLf7pmsUDREFy8m2NoKO7eMI2iJiDydJMmIC/FBRmEVAODqPkwmJiJyF/UFF2YP7HhFLaKuRpblJRd7DFU9yT9XUm2bnt6PI91dIa+87Zskf3hrO768bSwm9GbfbldJSsmzTZdWmxBdd1OL1K+02r5y1NZTBVh7LAfxoX6IDvZG3zB/iMwyJidpLukGAHalFaJ/D3/0DVd3Kfi8qgsPlH31qjpFIfIogiBArxWg14rY/X8zkHQyHw9+ewiB3jrEhfrifEk18sqNrVZDfGeztcpH/GZfbLp/mosi73rWH79wTrj6H5Nh0GoUjIaaIwgCSqtNdkk3APD17kwm3pDNyZxyu/kALy36qfy8jKg19WftlUZLq9sREZFnqE+6AYA+QbwmISJyF94662d2z0B2YSBqiyAI97a2Xpbll9s6hqrqlFfX8oLd1UbFBeOHv01oc7vr39vlgmio3o6HZ9imL39jW7sSpEgdYkN8kbF8HpZeOdC27LlVJ3Dbp3sx59WteH5NioLRkadLfuJSzB8W0WT5F7sycd27OxWIqGPCfS4kpf148JyCkRB5PkmSkVdWg9VHc/Dgt9ZKe6XVJiSfLUFeuX2rRFEA/JupvDe1b3e8d9NIl8TbVX27L8s2ndDdT8FIqDXjl21ssuzHOycqEAmp1evXDberDlZWY8aTvxxVMCKii1NWN+AkwJtVD4iIPJ0oCgj1u3AesyfHrGA0RETUEX5e1vt54QFeCkdC5BZeBPAnACEA/AD4N/rTJlUNJ/drcEP/sx0ZuHF8nGKxdCXt7fEX99BKxAT7YPMD09gux8m0jX4nvySfxy2T4hWKhjrjzxPisCu9EKsO59gtN1kkhSKiriDQW4fXFg3H/Zf2w+Tn7dsIjusdolBU7dewgUrPQF4MEDnDvjNFuOa/O9q17dIrB+KPo6Nh0Io891NIfKgv0gsqAQBajarGTFAdWZYxODIQh8+V2padeHoOvHQcCUwX6LUi9j82C3/5bB9WH7VeH3y64wyWXjmQn6/klkwW65l7IBNviIi6hIKKCy1wL+/Nz34iIncRUJd4893+LPx1Wm+FoyFSveEArgMwD8A+AF8B2CDLstzqXg2o6u5tclaJbZrZd64zJCoIGcvnIWP5PBx/ak6r22YWVaHX/63Cvd8cdFF0XZOXToOfGoySffrXYwpGQ51RY7IgLsQXfcPtR6ePiOmmUETUlUQH+zRpX5DfqIKFGpka5KXxPIDIOTrygOzdLWkYunQt4h9ehbiHViLuoZU8J3Gxr24bZ5t+d8tpBSOhltz88R67pJsjS2cz6YZadNclCXbzUrtv3RCpi15rTRjTaZg4RkTk6cpq7FsQ51fxBIaIyF3Ut5pKzatQOBIi9ZNlOVmW5YdkWR4G4AMA8wEcEwThyvYeQ1UVb+pbTY3rFYxLB/ZQOJquyVuvQcbyeQCsLQiOZJfi2rd3wGiWIArA3y/pA1mW0Yf96J1u+W8nbNNj44MVjIQ640xhFf6TZP+A7J0bR2I2P9vIRVJyy+3m3eH/nqHBjfu9Z4oxoGeAgtEQeaaEMH+kL5uLnLIaLPloD07klLe47bmS6ibLPtiWjscuT3RmiNTAs6uO26Yjg3wUjIRaMjEhFJtS8m3zfs20ZSOqZ26UafPl7kzcOC5WoWiIOq++UlP7x/0REZG78m6UVG5iMW8iIreh1YhY0FeHGaMHKx0KkdsQBKE7rNVvBgPIApDX3n1VeVfwZG4FJEmG2M4WSOQcoihgSFQQUp65TOlQupzqWgt2pBXa5sNY+cHt9Axq+jvjJxq5yqJ3m7aRcbd2dWuO5PBBFJGTCIKA7/efazbppld3X1QazbhuTAzCA7zQzUePbj46+Hlp4a3TsBqVi/2SnG2bjuzmrWAk1JJBkYF289/uy8KCkVEKRUNqNyw6CH4GLSqMZgBA0ok8nu+QW+rmowcA5JXXKBwJERE5m65Ry9tuXrzDSUTkTi7vpce0wT2VDoNI9QRBuBnAQgBeAL4FsFCW5XYn3QAqS7wZ3zsEAFBUWYv7ViTjlT8OUzgiIteTZRkDHl9tt+xVvhfcQq1Zwsin16G87kZ6Yyk55azmRU7ze2oBlny8B0Zz06FHG++bqkBEHddwFHh2adNKG0TkONeNicELa1KaLE/LrwQAvLr+FOJDffH5rWMRGcSEDzUY3CjBg9RhXK8QRAZ52ypE3b8iGfevSMa6f05hlVCys/pIDv7y+T67Za8u4nUeuSdNXcUbtksjIup6dGLb2xARERG5ofcBHAFwBsBsAJfWV3sFAFmW22w5parEm+wG5exnJYYrGAmRcmos9vP1rb9I3WRZxpO/HLVLulk0Ohr/mNkXwb566LW8KiXnqa614Pr3dzW7bnKfUMSG+Lo4os5Jzr/wAagROIKKyJmCffXIWD4P/9t7Fg9+e6jZbdILKjFx+Ubb/LzBPeGl08BbL8JHr8WBzGJoRAE+ei289Rp46zTQigK6+epxz4w+8GpUkpwujskiQSPy31SNtj90CeIeWmm37PGfjuKr28cpFBGpUXNtyNiajNyVWbIm+3vxOpeIqMt5cEs1Fs5VOgoiIiIih5t+sQdo8y6PIAi3A7gdAMLDw5GUlNShF6ioqGj3PqXGC0NlDPknkJTUdBSuWnTk53KV1n5XSsSr1L+RGn83jbX2uzpXVImGTYnU/rN0hjv8juq1931VXCPhy132FTpikI8TB4qcGp8a/i3VEANw8d9XzuTsf6PvTta2uO5cXhG2btns8NesqKjo9L4t/a76+tSg/vPPVFPVZb9D1BBDQ2o7v+gItccHODbGxr+r9hw7DMD/s3fXcW3d6x/APyeOuxQo0kKFuntLV1ll7u6+u+3OO9/upL1z9627a7fd2d1vW12puzttoaUFWtwldn5/BAIhAQIkOQn5vF+vvsjxB9IkJ+c83+f5boYfciuN+M+hOogADEagSi/iXJXlMPbFB/LsjqX83BlMS1S28zdonSc8n/Zq6XXV/HccF6PAplxTUu/Xf6ajf7jzEm+k/Pu683Pb9LmKiIhoMU4/JVCla5zeklmEFavXQiV3fCKpu/y93CWOBq44F+zs7xzrLyCnsvG99ePfVmNAhH3JN1L/vZ35eeVJ5xaA+8foiueqoVLl2j0ZSNSddsixHMUdnx9XxNTWe6A7/l2acvf4AL4PNnD3+ADXPVed5Ql/SwCo1VuXN3t6/krMTHLs973Osue56or3SA7Xf1/ctm0bTvs1JsS68/8vT34PBNw/Rn5eNXL3GPlcNWKM5A5EUez0jTRBFO2vCzt8+HBx586d7TpAeno60tLS7Fo343wFpr+3HgCQNXcWBDce7d6e36s9BEHYJYri8M7up/lz5ax4WyPFMV15XGc9V8tXr8W9K6st1jnw8nQEaNzry0xnuPr/hqteV3d8twNrjlq2+xvUPRj7zpRiWmoUPr1xqFVf5M6S6nXmrBic9VxJzdnP0/asYlzzxZYWl69+fBJ6Rvg79Jjp6emYPHlyp5+vps9Veno6bltmanPz5IW98eDk5M4H2k5d7TXVoCudX7SHu8cHWMfoyOfq7bfftvn7l9fq8PqiI/h555kO7fuigd1Qpzdi5eHzVsteujgVoX4qXDwwBjKZY8/l3e35dMbrqvnv2LSKSsZrM51aQU/Kv6+zj+2o56p3797isWOWg0Na+ww++cYsyB38OgDc57XgSZ9XjtLZ31kURSQ9s8Rq/p8PjsOg7sFOPXZnOfPzypPOLQD3j9EVz1VlnR79X1qObkEabHlmSmd37VDu+Py0JyZHPF+23gPd8e/SlLvHB/B9sIG7xwe47rnqLE/4WwLAwZwyXPTRRot5v9w7BiOTQh1+LGc/V+58j+RgThneWn4MWr0RBlGEKIowGEUYRcDY9LFRhEEUYRRFGI0iKmr1KKrSYu0TaUgKb6x47SnfsTztPRBw/xj5edXI3WPkc9XIE2N0xPPlHz9EHPBEeicj67q2PhJs/hsrZQliqOK5Du0nX3evQ15b9nCrusZNL0ruPF2CEYmOP3kjcndquYCf7xmNa7/cap434/0N2DTnAgmjInt8fMMQLNqXh/JaHU4XVWPB1tPYd6YUALDy8Hl8t+kU7p7YQ+IoqSsamRSKH+4ahTPF1QjQKFFSrcXz/3fQvHzKO+uw7dkpiArUSBhl+7y1/JgkiTdE3uC5Pw7i7325Npc9OrUXAjQK8z+VQgatXkT/2EDEhfi6OFJqim0r3U9ptdZm0s2A2CD8cu8YpyTdkGcTBAG/3DvG6v/NpZ9swlXD4vDcrL4I8VNJFB2R/ep0phaxlwyOkTgSIiJytv6xQRbT9w1UOyXpxtutP16AdRkFGJYQAoVMgEIug1ohQCYTIBcAmWB6LBNM99FkgumfXCYgzE+F+FB+XyciIpKaWyXexIX4mB9Xaw0SRkIkrfyKOovp968bLFEk1B6+KgUuGxKLjScK8NriI+b5KZH+uGRQDG4ekyBhdNTVjUsONz8+U1xttTwyQO3KcIjIjb10cSoCNQr8sC3batl7qzIAmJI8rh3eHf4aBfzVCuRX1EKAqbVEkI8Slw6OZVKBC43uwQvb7ijIR4l/XzkAf+/Lw8YTheb5B3LKcM+CnbhlTCKUcgETUiL4eiGzkUmhyJo7C28sOYKvNmSZ5/+26yx+23UWp+bNljA6IvsoZKZk0Ah/fscgIvIGscE+yCmtAQCUae3voEDt98Ndo6BROq/FMBERETmPWyXeVNbqzY8Hx7VeZpmoK3vopz3mx+9dO4jVnzzIx2uO48M1J8zTg7sH4/f7x/JmC7nUhDfXWkyffMO92zc2JZcJMBhNF3EOnC3DgLigNrYgovYK91fj9csH4PXLByC7qBqFVXUoqtTireVHkXG+EgCg1RuxYOvpFveRU1KDh6akuCpkr7c1sxhGo+jw9l3UOYIg4NoR8bh2RLxFWzAA2HC8EBuOm5JxHpmSgken9ZIiRHJTgiDgudmpeHRaL6S+uNxi2dIDeZg5oJtEkRG1j6d8xyAios5pSLoBgJHRTAohIiIissWt6pWHNRkpM+y1lRJGQuQ+ekcFSh0CtUNpjc5i+ud7RzPphlxqwZZTVvOqtXqree7qw+uGmB8nR/pLGAlR1yaKIn7clo0nf9uHKz7djAd/2G1OurHH1cO7OzE6atC3W+N5IJNu3Nuv941pcdlFA7uhVseKrmTNV6XA4ofHW8x7Y+mRFtYmch9G0ZQoz48mIiLv82h6DRLnLEbinMWYy/MWIiIiIjO3SrwBgLlXDABgKmNvq1UGUVe3v8DyBnlqDBNvPEFBRR1SX1yG77dYVgdQytzubZa6qIEvL0finMV44c9DVsu2nCySIKKOaZoklM3zACKnqdMb8ewfB7AtqxgAoDUY27X9RR9txM87ss0Vqsg5juSVSx0C2am1CpXT3luPPi8sw/qMAhdGRJ7idJHl+c6Z4hqIIt9byb0pFabvuVV1npPgT0REjhfiq5I6BCIiIiK34VatpgBTX/MG0UEaCSMhksa5qsaLrLtfmCZhJGQvURTx72VHUa1tHMk8LCEE3942gqPTyakMRhFXfrYZe8+UtrjOoofGo3+s57Rrapq81iuKFW+InEWjlGPznAtwqqgKCpkMchlQpzOizmCEVm/6V6c3Yv6mLBzKtU7+KKysw9O/H8DTvx8wz+sdFYClj0zgZx95rQ1PTbZq99jULd9ux7on05AQ5ufCqMjdFVdpLab/eGAs2/eQ22uoeMP8WyIi7/PJFF/MnjZZ6jCIiIiI3I7blWKY2jfK/Fgpd7vwiJzux6ONF159lOyZ6wlqdAaLpEEAeHhKCoJ8lBJFRN6islbfatJNWu8IdPOwJNZgX75uiFwlJtgHo5LCMCA2CMkRAUiJCkCvqAD0jgpA7+gA9IkOwKuX9cfwhBC79pdZWAnefyNvVVRZB7VShocuSG51vVNFrOZGlk7kW7b5GxJv33sukZRU9dfr9My8ISLyClcMiTU//j1D28qaRERERN7L7Sre/HvZUalDIJLURT2UWJSpAwD0fXEZZg/shjcuG4BAHwVHPropX5UCd4xLwrebsszzbv12OwBgzsw+CPdXI0CjQKBGiWBf078gHyV8VW73Fkwepq1OZunHCjDstVW4aXQ8XrmkP+QeUIViw/FCqUMg8hqiKKLns0s6vZ8gHyV+uXcMekcHOCAqIs8hiiIq6vT4cNVxfL0xq831p/aNwsSUcBdERp7k0am98N3mU+bpxDmLPa5iIXmf3NIaAEBCqK/EkRARkbOJooj/7ckxTys5VpqIiIjIJre967v2iTSpQyCSxFW9VCiVBWHjCdPN58X787B4fx4A4PXL++PGUQlShkctePHiVDwzqw+2nCzC2mP5mL/pFABg3tKWkwmfntEH96f1dFGE1BUFaJQ4NW+2ebqsRodlB/PwWfpJixH1C7dmY+HWbIt1PQGTDYmc7/60nvhi3Um7WkU8Pq0XLh8ai7gQ3mSTwmuLDuP5i1KlDoPqHThbhos/3tjqOk9e2BsPTm69Ag5RkK8S39w6HHf+Z6d53kUfbfS48zbyLqfrv2so5DxfJyLq6gRBwODuweaKy8tP6yWOiIiIiMg9uW3izd3f78SqxyZJHQaRJCb1ijAn3jSVEsmR5O5MKZdhYq8I7M4uaXNduUzAtNRIF0RF3iTIR4lrR8RDIZPh8V/3SR1Op1XU6hCgYespIkcQRREP/rgbSw6c6/A+kiP9mXTjQvnltRbTQ+1s+UWuERPcditH5o+Svab0jcKqxyZh6rvrzPMKK+sQ7q+WMCqiloX6qQAwUZ6IyFvk1Fc6A4AhkXIJIyEiIiJyX25bGPCGkfFSh0AkmWtHdrc5v3cUE288wSNTUpD+RBqGxAe3uM6CO0cimYlU5CRXDovDW1cNlDqMTlPK3fY0hcjjiCI6nHTzj8nJ2P7sFMwc0M3BUVFrGm5qNpjFv79bCfNX46kZvW0uu29ST2S+MQsPpLHaDdkvOdLfYvqNxUckioSobVGBpuTDilqdxJEQEZErFFTUmR/vyTdIGAkRERGR+3LbijdXDouTOgQiyaw4dN5ieuGdozA+JVyiaKg9DuaU4aZvtqG02voC5LTUKDw7qy+iAtXwVbnt2y95uB2ninH151ukDoOI3IxMJpjbllTU6rD3TCnKa/T4akMmckprEOyjRGmNDmU1Omj1RottP157An/ty8X6pyZLEbrXUjD50O09kJaMmf27YfLb6RbzP193Ep+vO4k3rxqIa4bbTqgnaq68WQKD1mBsYU0i6QX6mL7PVtSy3QgRERERERER4MaJNypeaCYv9suOMxbTTLrxHOsyCmwm3ax+fBJ6hPuxFDc53daTRTbnf3XLcBdH0nlnS6pZGYrIwbIKq6ySBADLEYzNpUT647ObhjkxKiLPlRTuhx3PTcWI11dZLft15xkm3pDdZM2+Jyzan4cnplchMdxPooiIWlarMyWG8dstEVHXV621TLKcfyHbDxMRERHZ4lbZLaIomh/7qNgrlLzXCxelmh+H+ColjITa68HJyTj0yoV45ZJ+FvMjA9RMuiGXeGhKCjLfmIVXL7X8P5hXVtPCFu4rNpgXc4gczWAU216pCZVchk9uHGrVAoWIGpXVaC2mY4I0OPrqDPx631iJIiJP5K9WIDbYx2Je8yo4RO5CX1+RyV/jtuP5iIjIQYRmaZa8vklERERkm1sl3hCRSdObWyU2qqeQe/NTK6yqFA14eQVeX3xYoojI28hkAm4anWAx78U/D6FO71l9uJmES+R4yZH+ODVvNk7Nm42M12bi8Wm94NvKa01rMELG66pELTIaRUx9d73FvMem94ZGyc8war+cUstE6SRWuyE31XDTtZ35vERE5IE0SstbSLctq2JyMBEREZENbpV401DinknT5O2a32xuXtKT3F/PCH+sfnySxbyvNmRhd3ZJu6sNEHWErRFICplbfewTkQRySmuQcb4Cj/2yF72eX4p3VmagWms7Ke/Hu0bh1LzZbPkmkabVQMk9iaKIJ3/bbzFvQGwQrhoWJ1FE5OlmD+hmMT3rww0SRULUOr3RVPFGzgt4RERdnq3rS3X1LQeJiIiIqJFb1YRtyJSe1jdK4kiIpHfX+CR8vTELAJD64nIAwPvXDsZlQ2KlDIvaoWeEP1Y9Ngnzlh7FqiPnAQBXfLrZvFytkEGjlEOjNP2cmBKBly/pBzlLC5CDXDo4Bn/uzTVPH8krR//YIAkjIiKppB/Lx23zd7S53huXD8ANo+JdEBG1pfkF7qzCKla/cCM/78jG078fsJr/0sWpNtYmss8nNw7F4jmLzdNKJk2Tm2oYSyLnf1EiIq/z+jgfRASopQ6DiIiIyO24VeLNkbwKAGi13D2Rt3joghRz4k2Df/68l4k3HsJgFHEkrxzltTpcPKgbAjUK/G9PjsU6dXoj6vRGlNVXlF9QdBrXjujOxAhyiOyiaviqLD/mM85X8P8XkZfSGVqunqJWyBAT7IMIfzX+2peDZ/+wTCa4Z2IP9IsJhFwmYHxyOIJ9Vc4OlwDoDZajSBVMzHUr3zQ7TweAxQ+PR7i/Glq9ESoF70ZTxwT5KFFWYxqUlFlYhT3ZJRgSHyJxVESWGj6SWMyViMj7sNYNERERuZoQUQz59Qs7tvEHjo2lNW6VeBMTrAEAZBVVSxwJkXS0BhGJTUY5NogO1GDD05MliIjstf9sKW7+Zrv5QnlLnprRGwFqBfw1CvipTD/91QqE+6sRE+zjomipq/pg1XG8tyrDav6Dk3viiqFsfUHkraalRuH46zOxI6sYRtFUabK8RofSGh3Ol9cit7QGFbV65Ne3fm3qy/WZdh8na+4sm6XIqfPyK+rQPdRX6jCo3vJ/TsQrfx/Gd5tPmefN/nCj1XoZr81kEg61y3e3j8DlTapk7s4uZeINuR2t3nTbVcWSN0REXV5RpeV3xBc21eDmiyUKhoiIiMiNuVXizbCEUADAvjOlKK/VIVCjlDgiItcrqbUcMnbF0Fi8dFE/BPny9eCu9AYj1h4rwEM/7UZtkx7HwxNC8MjUFHQL0iDCX4NAHwVvRpJDGY0itmQW4cavtwEALuwXheWHzlut94/JyXjiwt6uDq9D4kN9kV3MBFwiZ1DKZRibHG5zma2k3/aakGJ739QximY3M4cl8Ma7OxEEAS9f0g8X9InELd9ub3G9rzZkIshHifPltYgJ9sH01CgE+6rYWpRa317hVAAAIABJREFUlHG+wmL6zvFJEkVC1DK1wlSp2lbCLhERdS1vr7Ae3HWurBbRQRoJoiEiIiJyX26VeNPUpuOFmDmgm9RhELmUKIp4ekONeXrDU5M5stnNHThbhlvnb0dxlRaAqeS2UQRmDYjGB9cNgZIjAMnBDuaU4b6Fu3C2pMZq2YbjhRjcPRg6gxGHcssxtW8kvr51hARRdty3tw3H1HfXAwD+3peLiwfFSBwREdlrw/FCJD2zxDwtCKb2SE/P6IO7JvSQMDLPVKM1mB/fPDpBwkioNRN7ReDUvNkoq9Zh0L9WWCwTBOCt5ccs5j3zv8ZWbqfmzXZJjOQ5DuaU4enfD7S9IpHEogLVAIDVR87j/rSeEkdDRETO9EBaT/y0Pdti3rlyJt4QERERNed2iTdXD4vDr7vO4v4fdiPzjVmQcSQgeZET+ZUAgB4RfljzeJq0wZBdHvtlL4qrtHh+dl/cMiaRrQTI6f7en2sz6WZ6ahS+uHmYx1dVOpRbbn48IjFUwkiIvEtbCQAGowit3oizJdW4/qutKKzUtrlPUQR0BhGvLT6C1xYfwT+npuCfU3s5KuQur7BJSfebxzDxxt0F+SqtXkdGo4ganQGVdXpc9flmnCm2/Pxel1GASb0iXBkmublX/j5kMX3HOFa7IfcW6MPKvERE3ubbC30xuHuw1GEQERERuR23u0Pc9CYbk27I2ySF+wFoLNtM7s9fY8pfjAvxYdINucScGX2w98VpVvOzi6tRXqOXICLH2n+2zPz4zeVHJYyEiBpU1OpQVFmHX3edwbT31ttMuokKVCNQ03pO/9B4tkrqKA3PDT2STCbAT61AVKAG/7l9pNXyhooRRA0W3DnKYvrbTVkQRbGFtYmkYzCKEACE+6ukDoWIiJwsKtCyss3aM55/7YmIiIjIGdyu4s2ZkmrzY53ByDYt5FXk9clmPkr+v/cUQfUj/PZkl2JGf7bHI+cTBAHBvtYXuI+eq8Cgf63Ac7P64u6JntvSZc7MPvhmYxYA4H+7c3DjqHj0CPdHiB8v6hNJobCyDsNfW9XqOuueTENCmJ+LIvIe3ZqUblfIOSDB0z300x6reUy2p+Y0SjlOzZuN6e+tQ8Z5UzXU4a+tws7np0ocGZElrcEIEUBMsI/UoRARkZOpFDIE+ShRVqMDACw4rEXakfOY0jdK4siIiIiI3ItbJd4YjSI+WnMCAPDXP8Yx6Ya8Tp3eCMB0EYs8w/lyUxsItZI3Tsi1YoN9kFNq3XJqSt9ICaJxHKVchmuGx+GXnWcBAFd+tgUAMPeKAbh+ZLyUoRF5pRBfFW4fl4j5m061uM6kt9IRoFGgR7gfvr1tBML8WcXDERRNvgutzyjAdXwP9Fg/bc+2aKUIAD/cNcpc7ZKouYV3jcLI11cDAIqqtFh8IA/+EsdE1FRFranaQTg/84mIvEJD0k0Dvv8TERF1Xt3ZYmQ+8bPUYZADuU1miyiKeH3JEfN0RABP3sj7qOpvsBzMKW9jTXIXd41PAgB8uPo4anUGiaMhb5IQ5mtz/hfrMl0cieO9edUgnHxjlsW8Z/53AIlzFiOzoFKiqIi8k1wm4IXZqbi3jUpaFbV67DtbhmFtVMch+60+ct78ODpI08qa5M5EUcTXG6w/m2/8ehsS5yxG4pzFOJRbZmNL8mZyQbBo3/ePH/fgtmVVSJyzGEfy+F2RpFdabboBG2KjEicREXV9l36yCYv250odBhEREZFbcZvEm3/8uMfcWgIAIgN4cZm8j0zW2EZAz6o3HuHKYXHmx31eWCZhJORtPr5hKK4eFgdflWW1pZ93npEoIseSCcChVy7EiMQQi/l5ZbUSRUTknU4XVaHHs0vwxXr7kvr+e89oJ0fkPTafLDI/XnXkPPadKZUwGmoPURSRW1qDnNIaTHl3HU4WVLW6flm1rtXl5H3C/NXY//KF+OC6wVbLrvxsswQREVkSIQIwnbMTEZH3kcsECBCg4/VrIiIiIjO3aTW1+ECexfSd/9mBEF8Vgn2VKKvWYVLvCFwyKAaCwG/15B22ZhZjfEq41GGQHXpE+CGz/oaK0ShaJFAROcvVn2+2eSPvpYtTJYjGcYoq61qtmNE/JsiF0RBRTol1S7uWPDwlBaN7hDkxGu/yzMw+5oEJC7dmY+HWbGx7dgqiAjlAwd3du2AXVhw+3+Z67187GJcNiXVBROSp4kOtKxzufXG6BJEQWWqo1ss22URE3uGrW4bj7u93mqcNRhEP/rgbo3uE4r/3jJEwsq5DgOl68pR31sFXJYevSo5Hp/VCWm/PbilPRETkTdwm8ea9awfh0Z/3AQAm9opAUaUW6ccKzMv/tycHaoUMM/p3kypEIpfKOF/BxBsPsebxNCTOWQwAqNLqEaBRShwReYOh8SE2E29e+fswZg3o5rE3ZhVyy2J8r1/eH3EhvgjUKDAkPqSFrYjI0d5ZcQwfrTnRrm3OllQ7KRrvpJDLsOqxiZj67nrzPI1C3soW5C4m9oqwK/GmV1SAC6IhT2br3EfOJH9yA8r6c/Y6PRNviIi8QUqkv835/7q0v4sj6bpmD+iGvLIaVNbqUaMzYMXh81ifUcjEGyKiLkwdF4oeT1wrdRhuK/+Re6UOod3cJvHm8iFxuHyIqWVLTmkNxs1bY17WM8IPk3pFYnxKhFThEbnMsCg5dp034F+LDqN3dADGJTP5xhP0iQ7A0XMVmPjmWoT7qzE1NQopkf64aGAMVAq36epHXchbVw/C1NQo3Ltgl9WyUW+sxuDuwfBRyvHSJanoEx0oQYQdE+Rjmbh246gEiSIh8i7nymrx4p8HW00WeHpGH/goZfBVKeCjksNHKYdcbhqXF+SjZHKcE2zJLLaYDvRxm69v1IIzxdV4/v8Otrj8mZl9cMXQOIT5qVglkezyxwNjcfmnje2lej67xOZ696f1xNMz+rgqLPJyhZV1AKzP3YmIqGv6354ci+npqVH48pbhEkXTNcWH+VokMg14abmE0RAREVFHuN2V21qdAe+vzLCYt/LRSbwoSV7jrgFq7DpvGjF+49fbcPGgGHx0/RCJo6K2/H7/WPy26ywW7c9FWY0On6WfBAA89ss+vHnlQFwzorvEEVJXNKlXBKb0icTqo/lWy/aeKQUAzHh/A7LmzvKYVo355bVSh0DklT5cc7zFpJtLBsXg3WsGWVWkIucraPaeOH/TKdwxPkmiaKg1OoMRKc8ttbnMVyXHkPhgzOzfDTeOiveYz2RyD0PiQxDur0JhpbbV9XZkFbe6nMiRAjQKxPkLCPFVSR0KERG5wM87si2mn5vdV6JIiIiIiNyX0xJvRFFEea0e56qM2J5VjKLKOhRVaVGrM0BnEKE3GKEzmn7qjSK0eiP0RiMWbm08iQvzU+Gtqwcy6Ya8io9CwP6Xp2PgyysAAH/vy8UVQ2MxmWUl3ZqfWoFbxybi1rGJ0OqNmPXhBpzIrwQAPPX7fhRW1UEUgW5BGlw+JJY3XMghNEo5vrlthHk643wFLvpwI7QGy5LvL/55CK9e5hnlf0trdFKHQOQ1dAYjHvtlH/pEByCwlTaJ45LDmHQjkQ+btPsanxyOSwbHSBgNtUZnsG63MiopFD/dPZrfZ6lTMgsqrZJuvrt9BNsOkKR6hPtDLwI7ThVjZFKo1OEQEZET/bk3B+fL68zTt/dTISHMT8KIiIiIiNyTQxJviqu0+N/us8gsrEJWQRVOF1WhsFLbeONvw5YWt1XKBShkMijkAlTNLuh/dtMwfoEnr6RRyC2mb5+/w/x4wZ0jMYFt19yaTACSI/zNiTcA8OayY+bHT/y6DxN7mZ7D6joDJvYKx90Te0Dd7Hknaq9eUQHY/MwFGDtvDbT6xhuAC7aexhPTeyPI1/1LwTd//yMixxJFER+uPoEtmYXYWt/G6O99pmUBagX8NQrklVlWWekZ4e/qMMmGhXeNkjoEasF1X24xv56aenZWXybdUKftO1tqNW9gXLAEkRA1yiyswrkqEeH+rHhDRNTVPfLfvebHkQFqTOrudk0UiIiIiNyCQ86S/rsj2+Kmcs8IP9w4Oh6xwT7IP5OJCSMGIcxPjTB/FTRKOVRyU6KNQiaw6gORDSqFDCffmIWezy6xWnbzN9sx/7YRCNAoMCwhhK8hN6SQy/D5zcMs5v3r78P4dlMWAMAoAunHCszLtp8qxoSUCAzqzgvo1HHVWj1SX2y5//PWrCJc2C/ahRF1TGizi/cz3l+Pvx8aDyWrbRA5xJ4zpXhvVYbNZRV1elTU6QEAx16bwYRQiWUXVUsdArXBYBSxPqPAZtLN7/eP5bkdOcToHmFW84a+utKjWolS16M3mpL8NUqeKxAReZNLBsUAsG53TkREREQOSry5fkQ8DuWUY+OJQpTV6HCyoAqni6qREhUAf1GPNEFAakygIw5F1OUZRRGJcxa3us7t35kq4Lx99SBcNSzOFWFRG4xGEf9edhRfrM+EXCYgKdwPNVoDanSG+hZ71u0Hmjp6rpw3Z6hTZIKA7qE+OFNcY3P5vQt24eEpKXhsWi8XR9Y+/1561GL66LkKpDy3FN2CNPjrH+MREaCWKDKirqFWZ7Brvd7PLzM/VsgE9I4OwPd3jESYP1+DrhLoY/lVraJWh4BWWoKR6725/Ci+WJdpc9mVn21Gj3A/KOUyHDtfYbEsyEeJxQ+PR7CvCgqZAKVcBjkr41ALugX5YOPTkzH+32st5ic90zhIIzbYBx9ePxjDElgxmFyjR7ipGt7JgiqJIyEiImfb+fxUDH9tFQDg641Z+BpA5kSRlR2JiIiImnFI4k2Inwqf3DgUoijibEkNDuaU4UBOGfaeKcXmkwbc8PU2LHl4ApNviOywv6D1G2Ljk8MhkwmIClBjZn/3r17hLV748yB+2JYNwDT6uUe4HwI0SvioZNAo5FAqZFDKBOiNIoqrtCiv1aFWZ0SN1oBAHwWmp/K5pM4pq9G1mHTTYGJKuIui6bjHp/eCv0aBshodfqx/TQFAXlktLvtkEzbNuUDC6Ig834jEUNw8OgGHcssglwnIK6vF2ZLW3zv0RhGHcssx7LVV+OOBsRgSH+KiaL3bmqOWI0kVMlb+cjd3jkvC8fOVWHM0H2N6hCEiQA25TIBaIcPKw+eRWWj7hnRZjc4qiQIANjw1Gd1DfZ0dNnmguBBffDfDD936DMPu7BJUaw14ddFh8/Kc0hpc+dkW3DAqHnNm9kEgk/TIyRoq3tTZmdBLRESeK9zG4Au9UYSKiTdERESdUne2GJlP/Cx1GORADm3IKQgCuof6onuoLyIDNfg0/aR5mb+avT+J7PHnCV2Ly3gx3j2JomhOumlwz8QeGJ7IEafkeHV6A+YtPYojeeWQywTIZTLIBUDbRlUlAIj3gPePYF8Vnp7RB9lF1RaJN4DpptKriw5jzsw+bD1F1EFKuQyvXtbfPH0wpwwXfbTR7u2f/eMgIgLUEEURRlGEKJqq9RlF1M8DbhgZjytZka/T4kIa37MDNApUa/XwUbGlhzuJDNTg29tG2Fw2NP4Mnvp9f7v2N+HNtRjcpAJiQxehgbFBeG52KlQKfvZ5u97RAegdHYC/9uXaXP7jtmyr86dl/5yAPtEcBEWOJYqmn6F+qtZXJCKiLmdinILnpUREREQ2OC0bJr+81mL61vnb8eSFvRHiq0KYvwohviqE+Cqh4I0zIgvnqq1vnssEYOFdo5h046aybIxmvurzLZjRLxqf3zxMgoioKzucW475m061a5uIADV2PDfVOQE5Sbdgjc3532zMwk2jE5AU7ufiiIi6lmUH8/Dkb/tRUatv13ZH8spxJK/1dXadLmHijQNc88UW8+OKWj3SjxXw7+pBrhnRHVcPj8MLfx7Ewq3ZbW9Qb++ZUqt5e7JLccXQOLYlJbPRSaEYGBeE/WfLWl2vV5Q/ugX6uCgq8iYNiYGGhgwcIiLqsvTNBnqtP9u+75BERERE3sJpiTczB3TDO1cPwuO/7gNgujH9wA+7rdYL8lEi1M+UhBPqp0a4vwqRAWpEBGoQFaBGZKAGUYFqdAvixSLyDq+P98Fj6ZYtH4wi8OvOsxjb0/3bxHijHhH+eOuqgXjyN8tRzYfzyiWKiLqyIfEhWPXYROSX18EgitAbRRgMIgyiiDq9EelH87H5ZBHONUmALaiow7KDeZjRv5uEkbePUi5DfKgvsourrZZ1C7KdlENE9nt9yZF2J90MTwiBr1qBylodSqt1GNw9GHEhPhjdMwwCBMhlAmQCmBjnBOufnIz4MCZgexpRRLuSbmb2j0ZSuB8MoohwPzWGJpjauoX4KtEjwt9ZYZIHigzU4JtbR2DE66ss5p+aN1uiiMjbFFZoAQA1WraaIiLq6gortRbT9w5UY23TtrgCEO6nxoC4IBdHRkRE5NmEiGLIr18odRju6wOpA2g/p/Z/unJYHMIqTiAtLQ2FlXUoqKhDSZUWxdVaFFdpkVNSg5MFVcgqrMTeM6UwtjJQZs3jk3ixkbzCr8csv8yseHQi4kN9oWYJT7dVVq2zSroBgA+vHyJBNOQNkiMDkBwZYDW/xzOLW/ws1Sg9qz1Jrc5gM+kGAEqqtUzIJeqktY+nobRGB6NRRH6F6TwdMCXqtdQeZ+fpEovpzPqKbx+uOYHNcy5ATDBfl84i42mgR5LJBJyaNxt6gxEnC6pw4fvrW11/6cFzFtO/3z8GwxLYupRsa6ndFJErlNeaWmT3i+FNViKiri4qUG0x/cX+Onyxf4fVej/eNQpjkzlolIiIyF5iQSgMn94kdRhubINkRxYEIRZAAprk0oii2PqFPTg58QYAjKKI67/cioO5ZegbHYiSai1Ka3Qoq9ZBa7BuqQMAYX4qGEUReoMIlUKGK4fFISGMI2fJO/goBIvpDccLcef4JImiIXsYWyivfa6sBmBLAHKhj28YarO6HADcNn+HR42CntPCjf+pfaOYdEPkAAq5DOH+amw4XoCbv9ne6f0xQdjxtj07BaPeWA0AGP/vtVhw50hMSImQOCrqCIVc1mbSTXPdQ30wIJbnkdSyO8cn4dVFhy3m7T9bioFx/H9DzieXma5biGw1RUTU5QmCgOtHdsdP28+0uE5a7wgMT2TCOBEREXk+QRD+DeBaAIcBNJR5FQFIl3iTcb4CD/6wG8fzqwFU10ckomeEP0L8lAjyUSHYV4lgHyWCfRunE8J84atyej4Qkdtq2if35tEJuGVMgoTRkD0WbD1tMf3ZjUMxc4DntPShrqOlCjGeaM7MvqjWGrDi8HmL+eszCiSKiKhrUsk7ljDz+/1jMay+DQ45x+kiy/f0rvQe741+v38srvxss93rnymuwbebsnDfpJ5OjIo83erHJ2HKO+vM05d8vAkn35hlToogchaZUJ94I3EcRETkGm9cPqDVxJv0YwVQynn+QURE1B5sNdUG6VpNXQagtyiKde3d0GkZLtPfs0z6Wf34JPRkqyiiNl3XR4WFR0ztphZsPY3KOj3eu3awxFFRa6alRuHdlRnm6e+3nGbiDblURa0OD/64p9WklA+u86z3EblMsEq6AYBp/aIkiIaoazpwtgzXfrm1Q9veu2AXABH9YoLw8Q1DEKBROjY4Qn5FrcX0cLYc8khrj+bj9u+sS/HbY97So1h+6By+v2MkX2Nk06J9eVbzUp5bgocuSME/p6ZAEHgDjJxDVV/prk5vaGNNIiLqCi5okujbkqRnlmBq3yh8euNQ8+cEERERtYytptoiWaupTABKAO6TeDM8IQQ7T5eYp19ddBhXDI1DhL8aIX5K9IkOdNahiTxa8xFjfaIDJImD7Lf0gOUF7zE9wySKhLxNXlkN/tybi/UZBdh8sqjVdUP9VC6KyjE0ShniQ32tKjws3p+H+yaWITUmkKO5iTrJTy3v8LaFlabvHesyCvDyX4dxf1pPJEcyyd6R/vHjHovpc+W16M3zQo8TGaju1PZ7skuRX1HHxBsyO5hThos+2tjicqMIfLD6OD5Yfdxi/pZnLmC7TnKYAI3pcmJFrb6NNYmIqCu4Ykgs3mky6LAlq46cx7qMAkxL5aApIiKitrDiTRtcXPFGEISPYLpNXw1gryAIq9Ek+UYUxYfb2ofTUo9/u38sVj02EeNjFegfG4gNxwvx8E97cP1XWzHj/Q34ZO0JZx2ayKMtztRZTM9dehS3z98uUTRkj5BmCQ3vrsxA4pzFSJyzGP/bfVaiqMgbjJm7BvOWHm0z6QYAbv5mO2791nPeSwI0plaUtlz88UbMXXLExRERdT09Ivxx6eCYTu/n991nMfXdtkdAUvvcPNqy3WgKE5s8jtEo4pH/7u30fnyUHU+So65npY2KgPYoq9G1vRKRnRoSb4qrtBJHQkRErhDoY38S+N3f78TBnDInRkNERETkFDsB7ALwF4BXAWyun2741yanVbwBgOTIANw1QI20tAmo1Rnw3+3ZePnvwwCAt5Yfw1vLj6FfTCAuGxyLO8cnQcaR6+TlSqu1KK2z7pJ+MLdcgmioLUZRxNwlR/DF+swW1zmeX+nCiKiryS6qxpR306EzWL8vdMS6jAKIougRbQdEUcSZZtVumvp6Yxa+3phlnv7jgbEYEh/iitCIupRDDjzH6P38UogAtHpju7eNDfbBHw+ORWSAxmHxeLoFW09bTI+dtwYfXDcYk/tEwl+l4HcnD2AURZwtafmzzF5j562xnrlscbv2seih8egfG9TpWEhapwqrrCrZNHXVsDjEBPvgssEx6MFW3+REKrlpHF9+RbsrbxMRkQd66a9Ddq2X1jsCY3uGIbUbux0QERGRZxFF8T9NpwVBUALoDyBHFMV8e/bh1MSb3dkl+GJfLX7J2YVanRFrjlrHdCi3HIdyy5EY7scShOT1zpbUWEyfmjdbokjIHnojrJJufr1vDAbFBbOXMdmkMxhx1edbsO9MqdOP9flNQzE0IQSBGiU0HjhSXhSBuyf2wJvLjtm1/smCKibeEHXAqscmATBV5sgprUGd3gCdQYRWb0SNzoAarQFfb8zEphNtV9aq60DCTYOc0hoUV2mZeNPEA2k98Wn6SYt5tqqnxAb7YMkjExDUjlGo5BoKuQxHX51pc5koihgzdw3Olde6JJbDueVMvOkCzrSRyHX9yHgMS+D5EDlfQX3CDauxERF5h7E9w1qttjwtNQof3zAEaoXnXX8iIiKSilgQCsOnN0kdhhvb4NKjCYLwOYCPRFE8JAhCEIAtAAwAQgVBeEIUxZ/a2ofDE29O5Fdg6rvrLWfmnWtzO4PRMaP5iTxZMi9aeRSVXMD3d4zELU3a9xzNK8eIxFAJoyJ3ZjCKLkm6AYD7Fu42P44KVGPbs1NdclxHufv7nVhtI2G3qcHdg/F/D45zUUREXdtri4/g201Zba/YSV/dMpzJ9nZ6akYfPDWjDy7+aCMOtFKqPae0BoNeWWGeDtQosOLRSYgOYhKTu6nW6pH64nKn7HvLMxcgOlDjEVXtqOOWHrS+tnLwlQvhr3bqmCoiKwbRdA3PExP8iYiofb7blNVmi/OVh89j/9kyqBUyyAQBggDIZQJkggCZAAhC42OZIEAmE6CUCYgIUPP8lYiIiNzFBFEU76t/fDuADFEULxMEIRrAUgCuT7y55/vWW1xN6hUBf7UCFw3shrTekZDLBChkAkulE4EXrTzRxF4RFtO9o1lKlVqmUcpbrGT18E978Ne+XKccd2RSmFP260x3TkhqM/Hm4kExLoqGqOu7fmR3bDxRgOIqHarq9KjTGyCXCZ1uddc91AdrHk+DUs5KcB1185gEPPXbfrvXL6/V40xJNRNv3JBSLmtztHBrljw8AakxgUhPT0daWppjgyOP8OT03vhxW7bFvP4vLUfmG7N4TYVcSoDp/5vIMXRERF3ey38ftmu9qz/f0u59dw/1wYanLmj3dkREREROoG3yeBqAXwFAFMVz9iYKOyzxprRai8H/WtnqOosfHo9+MSxvTURd18gkVruh9hNFEbMHdkNuaQ1UCpk5KXXtsYJ27Sc22AcGo4jHp/fC1cO7Oyla1xjbMxy/3DsG13zR8oWbylq9CyMi6tpSogKw/J8TYTCKMIii6adRREmVDhPfWtvh/Z4prkFuaQ0SwvwcGK33OFtS3WLSTXKkP0YlhaJ3dAAEAL4qBS4bEgs5b767LaVchh/vHg0AqNMb8Onak/hg9XGJoyJPEuKnwql5s5E4Z7HF/J2nS/g9hFxKbzS1l1TwM4eIqMtb9NB4XPTRxk7vRxAAAaaKNwq5gFqdEa9fNqDzAXZhG08UYM7v+2G619dQPciUANvw9xQEwcY84MwZLbbUHLGaL9TvB4JgMU8QYK5OBAC+KjmuGxEPHxUHChMRkdcoFQThIgA5AMYBuBMABEFQAPCxZwcOS7wZM3dNi8sW3DkSE1IiWlxOznfbsipgmeXFuSAfJQZ1D8aLF/VFcmSARJFRU/kVtVKHQO1QVGO0uuhN1BHfbjqFVxfZN4KoNTmlNQCAJ3/bjwM5ZZAJAi4ZHIOh8SGd3rcUjp2vaHX5e6sy8N6qDPP0a5f1x02jE5wdFlGXpDMYkfLcUqfse9Jb6W2us/aJNCSFMzmnueP5lS0uO5FfiRPNlpdUa3HXhB7ODos6qUZrQN8Xl7V7u1kfNultvaz1c9Btz05BVCCrHnVVA2KDLFrQXfPFlharKhI5g76+Ip5CzsQbIqKurn9sEDLfmIUezy6xa/2XL07FbeOSnBxV1zc2OQx7skux+mh+fYU5EaIIiDAN4DOKpp/1i8zzRQBGUYTBYIRw9lT9Mutt7REX4stW0UQebtH+XDy9ugobRmgR6qeSOhwid3cvgA8BRAP4pyiKDf2+pwCw62awwxJvvr1tBK7/aqvNZXd8twObnr4AYf5qjsCUQPML8g3KanRYn1GAqe8W8CKdm1DI2IbBkxhE06iApuW1F2w9jZt545/a6aphcdh7phS7T5eYk2c66/tQU0TXAAAgAElEQVQtpwEA320+hSAfJfa9NN0h+3UlVTsv5MeH+jopEqKuTyETcOuYBPyn/r3D1SpqdZIc193dPn9Hi8tig30wLjkMMkGAIAgI8VUy+dADFFbWYfhrq5x6DLlMgFrB7xVd2cRe4RaJN/dN6ilhNOSNzBVv2EqSiMgr3PLtdrvXfWdFBpYePId/XdrffE7acOlUFEWE+qkQ7Mubv2354ubhndrenva0omiZkGP6CRzJK8eln2yCof7znog81197c1GlAxbvz8XNYxKlDofIrYmimAFgho35ywEst2cfjqt40zMMb145EE/9bl0KXWcQMfKN1QCAqEA1tHojtHojekT4Y+4VA9A/lu2nnOmz9JOtLn/xolQXRUJtaZpxOiQ+WMJIyB6RvjJkzbUs9R7NkcVkpxqtAZPfTse5cudXurp6WJzTj+EMfaIDW1z2y71jEKBRIDnSH0pe8CfqNEEQ8Mql/fHKpf3N8zadKMSNX29z6nGZ/N26H+8ehRu+sv0c5JTW4JedZ83TN42Oh0bJMuDurrNtWVIi/TE0RItBqb1x9fA4fgZ6qSHdLasZfr7uJObM7CNRNOSN5PWDhnhDjojIO7Sn3VBFnR7bsopx4fvrW1xn34vTEeSrdERo1AkNbarqp8zzVUziJ+oypvSNxIrD5zEyKUzqUMgGIaIY8usXSh2G+/pA6gDaz2GJNwBw9fA4rMsowOIDeS2uc768zvz4QE4ZLvpoI3Y9PxVh/mpHhkJNPHRBMn7ffdZi3vOz+0IhE8xlBUuqtAhhmTG38uSFvaUOgdrpiiGxmNInUuowyI2UVGlx49fbcDjPut2fIx17bQbUiq53s3VQ92CLm/IXf7TRPLr7mi+2mOevfHQiUqLYMpHIEaq1ehzJqwAgQqOU4bf7xrS5TWZBlc3ke3v0f2k56tvVAwAmpITj3WsGM4Gk3tie4Tg1bzZEUcR1X27FtqziFtdduDUbr102wIXRkb2yCquw63SJeRTpm1cONJd7N9aXfl99JB9rjua3ua/j+ZU4ng/8fOwASqq1eHBysvN/AXI7Yf7W393nb8rCzaMTWIGEXEJef5eOeTdERN7hq1tM1VeMRhGXvbcc+wsMndpfgMaht6WIiKgFQv15u287EiiJqOMceobz9opjrSbd2DLvigFMunGyWr31ifBri49YTC85kIff7h/rqpDIDjd8tQ3bn5uCyABWUHFnZ4qrzY//tycHM/pHY3q/aAkjIndyoqASh/PKnX6c2+fvwI93j3b6caRUVqOzaKnQ1LT31mNMjzAo5AJkggCFTIBcJkAhF5BZUIWj5ypa3O8/JifjCSY6EpnN+mADThVVt72ig1TW6S2mlxw4h6Hxp3HRwBhEB/EcqMG58tpWk24afJp+Ag+kMRHD3Ux+O90p+31r+TG8tfxYq+v0iPDD65cNMH9GygRAJpg+J08VVWFCSgSCfDja2NMMiQ+xmvfK34fxyt+HAQDzbx+Byb05IICcp2F0fPPPcSIi6to+W3eyXUk396f1xISUcCjlMshlApQyGZIj/SHrZBVIIiKyz4n8SvPP7qG+EkdDzanUyUjo8bfUYbitPHheZxiHJt6sOHS+XevvfmGaRWsdco74Zm+mPSP8MKZnGOSCYM52vGdiDylCo2bym7WcYdKNe8soMeC2N9eap4cnhGBq3ygJIyJ3MyIxFFlzZ2FtejomTJwEg1HE+owCPPvHQZTX6qDVO2aIaC8vqPaisjF6u3uoDxJC/aA3GmEwiqjTG2AwijCIIvQGsdWEmwYfrz0BlcJ0AUghE3A8U4unN69Cnd4ImSBAJZfhxYtTEeyrhN4gIshHiUHdPe+Ej8heb141CHOXmhK0m14K3Z1d6rIYXlt8xCpJ3GzZYvx23xgMTwx1WTxSK6ioQ9pb6Xat2yPc37nBUIfMv20E/t6XC6CxnHthZR3SjxXYtX1ssA9ySms6dOzMgipc/9XWVteZPaAb3r12UJesnteVTU+NworDtq/B3D5/B/7+x3gMiGNbb3KObvXJsbkdfG8iIiLPdOOoeKzdewI7z9uXfHPdiO5ICPNzclRERNSS5Eh/i5/kXrR1J3A682KpwyAHcmjizY93j8au08VYeTjfqrVRc1ueuYBJNy7iq7J8mt++epDNEXIkvabVn068PlPCSMgesf6NiQAHXp6OAA1HC5M1QTCNMFfKZVDKgen9TFWRKmp1GPDyCrv28f0dIwEAcpnpZp2sfp9yGRAX4ouowK6fpOejklu0nbLH5pOFuOGrbVbzw/1V0BlMiTq1OiPeXZnR6n4e+GG3xfSCO0diQkpEu2Ih8hQjk0LxxwPjOrz9qcIqHDtvSnoTRQD17XRMj2Ce39BmRwQgiiIe+e9eu49x1edbsPyfE9E7uusnHWr1Rox4fZXV/EUPjYdGKYNRBAxGU7JhfKgvgnx5LuKOJveJxOROtiOtqNUh43wljKKIPXv2YPDgIQBMr58GptdTYyUK1E+LoikptUZrwD0Ldlnte/GBPMy9cgATbzzMl7cMR3ZRNd5ZeQx/7s21Wh7M9wNyIrlMgFxo/GwnIiLvEOyrwj+GaLCjLhqfrD3Z6ro3jY5n0g0RkcRk9RcIRJ64E7mEQxNvIgLUmNG/G+5buNvm8q9vGY6pqawGIYUIHwEFNaZ31t93n2XijZuSywTE+AvIrRShsFHdgdyLn1LAxYNi8Pe+XJwvr2PiDbVLgEZplUjy845sPP37Aat1/dRyDEvwnuoOjjK2Z3ibyTo6gxHXf7kVO0+X2LXPO8YlYVRSmCPCI+qSEsP9kBje9sXVbZlFePDH3Sis1HboODHBXT/hEAB+2p5tNW/fS9PZGsgLBWiUGJZg+g5XdUqOkUkdOy/Y9uwUjJ23Bgaj5VW3QJ7HeqT4MF98cN0QTOoVgcd+2WeePyIxhGXEyanq9EYYRPDziIjIS102OBbfbzmNitqWWw7eMibRdQEREZFNivrWfgZm3hC5hEMTb2p1BhRW1rW4XKlgIoFUDE3eU+WCgPyKWrYxckPHz1cgt5IfgJ7i07212H6uCgBQUt2xG4dEDU4VViG1m+12AFd+tqXN7X+8axTGJoc7Oqwuq6pOj+u/2or9Z8vs3kYpF/DixalOjIrIOxw7V4Frv2y99U1Ljr46Axql91TluGVMAl7665DFvEGv2K6W9uql/XAzL24TgBf+7yAWbD1t9/qrHpvkxGjIWfLLazHyjdU2l51r1sKYyNEaLuDrDbx+QUTkjVKiAnDg5QtRWq3F4H+ttLnO9PfW471rB+HyIXEujo6IiBo0DLoR2liPiByjU4k3+RW1OHauAksOnLM5GrO5syXVnTkcdUJxbePFkP9sOY3/bDmNb24djgCNEmqFDAq5AINRRFSgxitalrirDccLzY+v+HQT5szsC5VCBqVcgFohg1Iuq582/WuYJ5fxY9PVjEYR28819jO++vMteOiCZIxLDodCJkAQTC2BBJhaDQENjwGh/jSnoQ2A+Sfqt2m2joCmLQMa9wsA56qMyCqsQuNSy3027Bc25tua1zRWoGlbELH+p/X2+dVGZBdV16/fpN1Bs9YiTffTMD8yQM1KQQB2nS7BlZ9t7tQ+bvh6G8LsbOEoCI3PT1FVY9JYYpgvQv1UkAkCRAB6o4iZ/aNx78Qe5v8briSKIk7kV0JnEKEzGKEzGKE1GKEziNAbjNAbRRiNpvYZBqMIoyjCYITFvIZ/1Vo96vRGc4ubvLLadiXdAIDOICJxzmIn/bbNLOvccbY+MwXRQfw8J8eo1uqxJ7sUkQFqGEXUv9ZMraKMoojiai1un7/DJbGovSiRv7hKi/yKWjyQ1hOfprdexh0A8itaHgBB7sNgFHG6qMr8udpwbmQUgXUZBXh10WH7drRsMXpE+CEuxBei2Ph6FEVgS2ZRu2Jaefg8+727kVqdAV+tz0SV1oCKWh1Ka3So1RqQV1CDDZWH0T3EB0sOnsP2rGKb209ICcfH1w91cdTkbbQGIwBgxynb/w+JiKjr+X3XWTz+a32FPTuvWWw+UcTEGw/GAhlEnu9IXjkAoFpraGNNInKEDife/L0vFw/9tMdq/oSUcIxKCkVlnQG3jk3Avh1bMWPq5E4FSZ2XEizD8VKjxbw7/7PTrm1n9IvGxzcMYesjFyit0Zkf784uxTVftF3loiW9ovyx4lGOXnUWgygixk9AblXjN5CP1pzAR2tOuD6YDemuP2Zz69d2eNO2WgF1ZUajiMzCSvgo5YgMUHf6pmnTJJqOOFVUjVNFlkmy+86U4sZR8S5PkPpi3UnMXXrUoftsmgwnwFTBpiExTW80wtiFLijojca2VyJqwa7TxXZV2nIUtUIGoyhCX5/M05Ix3eQoqdYhxFcpSTKgK7266DC+2Zhl17re/DnqiR757x4s2p/nkH1lFlQhs6AxAVujlEGjlCMqUA2NUg6NQg6NUgaZTIDRKKJWZ0Sd3oBandGiIso1w3kzxJ2MmbsaJdU6m8sOt/K+EBvsg1WPTYKPynuqgpF0Gi7gh9qZ+E9ERJ7rRH4lpr67rtV17pvUE6XVWvOg0fsm9UREgNpFEZKjNVS2u/+H3VArZPBRyTGjXzTmXTlQ4siIqL2GJ4bi641Z2JpZhNSYQKnDIeryOpx409Kolg3HC81VOz5fdxLfzfDr6CHIgW7rp8Zzm2o6tO2yQ+dQqzfCn4k3TvfYtF74cPVxh+xrdI8wh+yHbFPKZXhjgi9+yQnAkgPnpA7HLjIBkAkCZPXVeEyP0TgtE8zzhKbL6re3dZNTEIDa2lr4+DRW1rBVYUew2KZx6qbRCY78FT3Oi38dxMKtbVeMa48npvdCr6gA03Mpa3gumz3XTefJGp8xo2gaed+QgKKQC4gL9pGkKpGyHZ85N42Ox21jkyCXCZDX/96Nj00/fdVyqBVt34hKT09HWlpaJyLvPHeIgbxbmJ9rL5DW6e1LFNuSZ8DQV1fiuhHdu/wFv8V2JGbMv20E+sXyoomnuW9STxzOLYdBFK0qIwL1VWvqf54pbt/3t1qdEbW61l9PJ16fyQEVbq5/bJBFJdS2ZM2d1eWTEcn9KGSm95FLB8dIHAkRETnbb7vOtrnO5+ssK3TuO1OK3+4f66yQyMl6RvjjjcsHIL+iFjVaA1YcPt9itUUicm9lNaaBuoE+7DrgjvqHAxtu5zWalvh/IHUE7dfhxJtHpqTg+y1t940/XGRAWkcPQg7TkUH8Ib5KxIf64p9Te+FU01Y29df0GkYkN7/G13AL93S5AYdyy2zehG9xW8GyhKGtfTdtZSPA+gLj2Qojjp2rsLl9c21dnmy6fWKYn6QXqWcNiMZVw+KgUcihVsqhVphGtDZtN9U0XlE0tYbwVXWqoxy14Zrh3W0m3vSJDoC/WgFftQL+ajn8VAr4qRXwU8uhM4iQywSkRPojKdzPIhmmeVKEILSQJFP/c+uWLRg3bmzjPuqP769RtCtxoTOYJNBxt41NxOaTRY2tvURT2fazJR1LlASAt1dkWEy/fnl/TE+NhlopQ6AHtfW6Y3wSLh0cg9u/29FmS6jbxyWhZwRbZBB1lsEoQm80IipQg4OvXAiDUURlnR4Lt57GZ3a0OnIWhUwwneeIRmjUSlw/Ml6yWFwlNSbQoiJJU2F+KtwwKh5pvSN4s92NVWv1OF9eB3n9c7QtqwhP/rZf0piuG9GdLWo9wII7R6GyTo+DOWU4mleOQ7mmf4frK4w0J4ptf+8lcjRVfetHnYFVFomIurqnZ/RGsK8S81qpStxQYbjBXRN6OD8wchqZTMANoxq/d+eW1eJQTvvatRORe5DXJ8zvyS7BJYNizOfx5B4OFgIp8/mdqivp8B35O1poUzR7QDdzb/nUmED0kbWdEU3OFxcgw/zbR+Ce73dCZ7AvDaekWoeS6jLc/t2Ojh9488aOb9sZm9Y7fJdT+0bh61uHO3y/zb02zgfP26hOtOTAuQ5VVtnzwjSEsPyz06T1jsSeF6Zh5+kS3P194/viyYJKu19rlw2Owb8u69+hpIgQjQyRAZq2VyS3lBwZgIV3jsKUd9ahRmfqsxqgcWyy3HN/HMRzfxwEACx6aDz6xwY5dP/OsvlkIW74aluLy5PC/bDi0YkuSzAj6ur2nSnFpZ9skjoMs6OvzoBGaVmlylsSPQ1GEWuO5lvNH54QwlGjHiT1xeUuOc5Vw+IQ5KOEob5c3e3jEpEQxqqznujSTzZh35lSu9btFqTB8MRQzL1iAGRMpiIJNJyDa+38zktERJ7t3WaDvJrLmsv2t0RE7ii31HSv8Ydt2Sit1uGTG4dKHBEJgnAPgHsAoHs3NY6w4k2LvKriTdMLQhcN7IaYYB/844JkqxvH6ek5HY+OHGZvvh6nzuXYnQjQVI8IP2jq23O0tbXYpFxNVVUV/Pzsv+jbvNKN2OxgzSvdiM2iaVi/utp0XOvtG7a1nG45Hss1Hp6S3MYWjqFs4z3WX60w/Q7Nq5/YWHf2wG4sIecCPio51mcUQCYAyZH+8FMroNUbcSjX9qjU5v5vby4enpLiUdVIyHFO5Feak24AoKJW36n9BWgUkAkCFM2qYA3uHoIeEZ5zI65vdCCSI/1xIr/S5vKswiqkPLfUPL3hqcnoHurrqvCIupykCD8MSwjBrtMlDt93+hNpSAz3nPcfqZ0uqrKYHhQXhPEp4QjzU0MURVa58RAfXj8E76w4Zh6U0vSrRY3OgIpaXYe+mzXXPcQXj0xN6fR+SHr2Jt0AQF5ZLWb0i3ZiNEStU8pNn0U6O9tFEhGR5zqYUw5tkwpn8QEyLH9yOnxUbbfzJiIiafVv0qL84Sm8duAORFH8EsCXADC0XwBHMnQxHU68+fme0bj2y60AgEX78wAAX67PxOc3DcOM/rwA5E60eiPe310HILfd2/58z2iM6hHWoeOaRiVP7NC2nWE67iSXH9dRvjpQZ3P+xYNi8N41gyRtd0W2ldfqsGCrqfVexnlTksDIpFCE+alQVKU1r6dWyPDrfWMQEaCGSi4ztwxjxQ7vNrFXBI6+OgN/7c1Fz0hT0uBVn2/p8P6aJu6sf3Iy4sM8MxklxE+FVY9Nwo/bsvHsHwfaXJ/3oYk6J1CjxO9NqqkcPVeOGe9vcMi+095Ox8pHJyIlKsAh++vqekT446bR8Vi4NRsAsO9sGfbVt9z716LDAIBPbxyKWQO6SRYjte2SQTG4ZFCM1XxRFJH0zJJO7/+fU1MwND4E45PDO70vcg/HX5+Jaq0BC7eexlvLj0GtkKGulaSGB3/cjal9I/H1rSNcGCWRScPQH2PzEU9ERNTl9I62/B6XXWFE3xeXYftzU1iFm4jIza06Yqqo3D820Or9nKTHVlNdT4cTb1pKxrhv4S6semwSkiP9OxwUOVaN1tD2Ss1EBKjx8JQUjEwKdUJE1JqSWssLV1/dMhzTUqMkiobscexchcX04O7B+Onu0ZCz7DvZSaOU45oR3QHAnMT1/+zdd3gTV9YG8Hcky713DAbbmI7pvfdmUiCVJKRuQja9fksCJCSQxJveNhtSd9OTTSOhhQAxHRwIvRebYmMbY9xt1fn+sC0sJNmSPNKovL/n4UFz587oYGFJc+fcc6Uw6pU/kBAegM3/GOexSXs3DW5vU+LNiH/+waoaRBLqmhiOvKxL5cIr67TIWLja4fPN+2k/urUJw9yp3Tgz0gZPTu5qTLyxJIVLCXm0HknhLVZGHNc1Hi/OyEBihPnNjPqJBp2dFR7JRKVUICJIgfvHpuP+sfXVVreeuIBZH26zesyaQ8VImbvcpO3H+4Yho20EFILA6xFyGo2+fpwpQMXPdCIiXzX7oxwcKaofEx2UEo0XZ2bwnhARkZspr9UCADrFM+nGHfWMBTZyqSmrfGqpKQBY8dBITHvbfCbshNfXAwB6tYtAdWUtFu3MxkszezGJQybZR4tt6pcWFwKFICBrZgYGpPC1ksuFJok3u5+ZiMhgfxmjIVvM/jjH+PiGAcn457W9ZIyGPIUoinhjzTH8sPMsgPqKLYIA1KjtT5ZsTlGF5SpanmTPs5Ow72w5VEoBD3y9C+crLf+bxryabZIoQETSCQtUYVpGIlbsK3To+Jy8UuTklaJzYhhuHtxB4ui8T0SQCmGBfhaXHxQE4PolW02WGRVRn8T5zT1DONjt5gRBwLdzhqLns78122/d4WJ8nXMaj05kgo0vG9oxBtufHo+KWi02b8tBz959W6yMOPO9LcbH39wzBEMcrGBL1Jzy2vrPpwgubU1E5PX8/RQ49PwUdHtmlUl7Y9INUH+9N+H19fhz3gQEqBTwV9ZX+GYSMBGRvAanRmP53nOYPZRjce6IFW+8T6sSb7onXZoJe6FKjf6L15js39tQEh2oxvPLDmDZgyNb83TkIGsDIX2SI/HfOwYhIpgDJe5o78JJCA/ka+Pu6rSXkiS+mzOUCYZkM7XOgLfXHnP684zqHOex1W4aRQSpMKJT/VIaf86bYGy//8u/sHzfOZO+qU8txz0j06BQCEiLDcG1/dtB4DpURJJ47+b+xsd1Wj2ufHeTcYlFW/VMipA6LK9lKekGAEQRqFKb76tS6/DbgUKkx6c7OzRqpdAAP6uTWJpafbCIiTeEhPBAJIQHIj9CiQEp0Vh0VQ8sWHqgxeN6JIWjC5f4Iydp/BxypMIyERF5HluHVQa+YHp/KOfp8YgP53JURERyCWqoUBkXGiBzJES+oVWJN41eW30E76w7jvT4UBwvtjz4PiI9ToqnIgcM7Wh5htvuM2Wo0+kRASZ3uKMglmz2CNVNbnwx6YbsEahSYt/CSSirqS/3KIqACNH4uJFBFGEQ6yvkGERAbxBhEEXoDSKu+tfmFp/nszsHOSV+uR0sqDBLugHqf3ZLNpw0bqfGhrCKG5ETBKqU+Pi2gRj58h82H5MeH4oOMcFOjMp7nDhv+Zrq3Zv6on+HKCgFAULDMjJKQYCgAATUVyYiz9A4iWVHXqnVCibd24S7OCryBFf1bdts4g2r/5Er9GkXCQDYkVeKKT0TZY6GiIicrbRaY1O/AD8F9AYROoOI6b3asJI7EZHM/jpdBgAorlQjOZpjckTO1urEm7MXa/DOuuMAYJJ0o1QIePaK7th78CiSO6TigXGceSmXAD/rCRx6g2h1H8lLbxDB3Bv3Fx1SfwGZFhsicyTkicICVTbfJF21/xzeWnvcuC2KItpHB+N0aY2zwnNrASrzKj5X9k5C96RwGEQRogi0jw5G/w5RMkRH5Btsef+5c3gqkqODIABQKhVQsNS4TY5ZqST03Y6z8FMImNKzjYsjImeptFC9qNHD4zu5MBLyFOGBKiy9f7jFBOy/j+koQ0Tki4IDlBAABPtz0IKIyBcUlNXa1E+tu7RcxrK957Bs7znM7NcWr1/fx1mhERFRMxrvW2n1XM6IyBVanXgTa6U8ld4g4pmlB7BkQjAmT+CAoZwslaKfNag9Xri6J29+uLFAZt14hAMFFQDq1zsmao06rR4Hz1Vg5ntbJDnfsgdHoEeS986U7xgXii1zx2FY1jpj2y97CvDLngIA9Uk3vz4wgstMETnR8PRY5GVlok6rR9cFqyz2+WRzrsn2luMl+Pct/S32pUum9EzELUPa44ttp03aNxw9jw1HzwMA1j0+GmlxoXKERxIa2yUeeVmZeOP3o3jrsiUoR73yB+LCAtC/fRRmD+2A4emxMkVJ7qZ3ciSm9EjEqgOFJu3X9GsnU0Tka2q1eogAwq0sbU5ERN5lQEo0Pr1jIF5accju5YZ//CsfR4sqodPXV29urIhzz6g03DKkg5MiJiIiAMYqN2GBkiyAQ0QtcPg3rbxGi1/2FkApCLhjeAo+3ZxnsR/vd8kv5LIZSNN7tcHXOafxdc5p9E6OxGd3DEJEMAdL3IVSADLaRUKjMzCZwwM0LgUxeygvFMl+m46V4JaPt0t6zjYRgdj61HhJzym3zcdLsOZQEcIbqgOJACCKqKizXiXgdGkNLlSr+flGJIHyGi0OF1agtFqDWq0eggAYDIBevDRwev/YjvjXHydaPNfK/YVImbscAPDQuHQ8NqmLs8P3SDq9Ae2ignFNv3b44a+zFvuMe209BqVG47s5Q10cHUnpfKUaj367Gzl5pVb3rzpQiFUHCrHmsVFIjw9zcYQkpyq1Dn8cLkatVo/vdtXh9lXLm+0fwSQIcrHfDxbhrhGpTHYnIvJy+WW1+G1/Iab3SsKZU7kIi2tnNsmiOfvzK8za5v+8n4k3REROVqfVAwBELn5CHi42Ro27Zh9vuaMFi9+SOJhmOJx48/Wfp5G18nCzfQanRmPD2Sqc3ngSM/u1My7JQq51+WpSy/aeMz7ec6YMeReq0Ts40sVRkTV6Edh9pgyfbc3D30amyR0OtWBQajQA4J21x3HzYF4sku3WHCzC3B/3SX7eRyd2lvyccrv5I9uSk24Z0h6LrurJgX8iifV+frVTzpt99Dw6JYQhPEiFUZ1i+bvbREmVpsVrLQDIyS3F3B/24vFJXRAXZrkSKbm3ZXsLsOl4iU19dVwm2OfM+mAb9uWX29T37Vl9oVQIKK3WGJfdFCEiKtgfKiUndJC0Qv3rhxO355aiRqNHSABn0BIRebN/Zx/HN3+eudRwtPmkm6FpMeiRFI5xXePh76eASqmAn1KAn0IBpUKAn0JAfDivX4iInK2wog4AYGDmjVvqGQtsvIPX69aEujBhRioOXxnfMTwFGp0BZy/W4Me/8i0OAm7PLcV2ADh0CKv2F+L7vw9rRajkqHPlpmuwLpjeHTq9AT2SIjCsYwyXm3JTLBPuGTYfvwDg0hcYIlv97bMdTjnvlb2TnHJeOa17fDTWHipGpVoHAfXV9AQIKCirxbc7Lg38fLHtNG4a1AHdvXiJLSI5vHpdb3ydcxrRIf4Ibqik2PjtsWmyzOnSGuw8ddHm8+49W44Hv94FAFh0dU/M5mxHo7xLNroAACAASURBVMSIQLx1Yx88/M3uFvt+8+cZ1Gr1eOvGvi6IjKR2+7AUDO0Ygw1Hz+PFFdaTrR4cl46uifx88zVv3tgHz/16EHGhASgpLkSH5LbIyS3F4cJKs74PNbyfXi41NgR/PDHGyZGSr6lpmDl798hUJt0QEfmA+ZndzZbBbc7Wkxew9eQFfLQpF+/e1BfTe3nfWBURkSeIaSiIERXMwhjuaH8J0OlTg9xhkIQcvjoO8FPiofGdAAAvX9sbAIxl4y8X7K/EW7M4ECyX+LBAk+1Fyw7ih78PRf8O0TJFRLaIYoUojzA49dLvkU5vgB9nk5KNNjw5FrvOmN+g/n7nWWw8ZtvM98s9d2UPBKqULXf0MGlxoUiLCzVr/2jjSbO2LSdKkBYX4pU/ByK5XNu/Ha7tb5oQXFheh7fWHjWWqjWZ/WijK3onwWAQER7khxl920oRqle5qk9blFRpsGjZwRb77j5Thke+2YWXZvZCkD/f/zzJgYIKPPvLAVyoUlvtE6hSYER6rAujInfRMS4Un905CACQnX0RY8b0RJ1Wj+eXHcSJ4ipszzVfoiwqWAVBEBqSlQU8NbWri6MmX+DfcN3buBQsERF5t0CVEnlZmQCA6a+uwv4Svc3HpsWaj+cQEZFrKBsKL7CCLpFrSDYtpbxGa3XfusfHIDEi0Op+ci6N3jxb7svtp5l44+ZqNDoE+3PmmLtLjg42Pl6y4STuH5suYzTkSdrHBKN9TLBZuy3VDax59pcDmNIzEUpF/c2W6BB/r166ZWL3BCxefsikbfHyQzhSWIlXrustU1REvmHuj3uRfeS8Y8dO7Yp7R3eUOCLv9MueApv6nbpQg1MXanD9gGQMY4KGR7lhyVZUa5q/cVGnNeCGD7bh5IvTWK2UEKhS4sUZGQAAURSR+tQKk/1/zpvAyQDkdFVqHQAgNJBjFkREvsaepBsAmPb2RgDAT/cNQ9/2Uc4IiYiIrGicMMehBCLXkOwKefKbG8zaHhyXjn6qAibdyOxYkXkZ6qyZvWSIhOzBpBvPIDZZG3P2UC6RQa13eNEUlFSp8ceR81jw8367jx/84lrj4zmj0vDUtG5Shuc2Sqs1GP1Ktll7z7bh+AdndhM53Tuz+uKXPQUQIEBvMGDB0gM2H5u18jCyVl5aUue163rjmv5cYvNyZ0prsOdMmdX9vzwwHIqG5EpBAMICVBYTOsm9bfrHONz53z+x67T11zo6xB/vzOrLpBsyIwgCOieE4mhRlbHti22ncPvwVBmjIl+gbPj84cRZIiLfUlqtcfjYGe9tAVC/1OrCK3tIFRIRETWj8eu6AI4nELmCJNOgajQ6FFbUmbXfO7qjV8+09xSWMskNIkdHiKTQ9D0ulMlSJIGc3FI8/t0ePPeL7TexrfHmG9nBVpZSWXr/CMSGBrg4GiLfExaows2DO+Cmwe1bfdMtPpy/s5aUNLP0EAD83/d7oVIq0LNtBHokRTDpxkNFhfjjp/uGW92//KER+GvBRAxnJSOyYvHVGSbbswa3lykS8iWKhtFEvcG8wjIREXmv6BD/Vp9jf365BJEQEZEtGieO81Y9kWtIcpe4uMJ8ULhzQihCAngT2h3NGZ2GQJXlG5Ykv5hAAcHBrBLlKeq0l8qrchYySeHWT3JafY7v5gxF54RQRAa3fkDEXQWqlDi8aAq6Llhl0q43iMa1a4nINW4e3B4KhYBqtc6kkk1z7hiegmev4CzH5rRUhv1wYSUmv7kBL87IwE280e7xVj0yElPe3GjWvvFYCXokRcgQEXmK06U1Jttd5td/N5qf2Q1/G5kmR0jkA2obroM5tkRERLbIy8qUOwQiIp/WeN3YNAGncVJ505F0k/1N9pi2w+JGY39rfZtOYr/8Oas0IspqNKaVeYTmn7u587X0b7Cnb+NDkQUtyAaSZMakxIZgUGo0cnJLjW1NSx2Te3lqqncuO+ItLtSJuFBXK3cYZKNAlRJ+CsGrExzItXY/MxEHCyrw4spD2J9f4dA51h8txqDUaIkjcz+Wvut2nr8Sax8fjbaRQbwRQOQifkoFbhiQjGv+vcWm/l/fPcQn3qNa6+FvdrXYp1ubcIztGueCaMjZLCXdRIf4Y84oJk5Q8zQ6yxVHvtx+mok35DSN/+8C/fh9m4jIFxwvrsSE1zfIHQYREdkpqKFq/M0fbZc5Ehus+13uCJr1j4GBGCt3EOT2JCtJ0zTpplHK3OXoG69Ej/5qxIWxhLycFg8PwjFDPOZP7y53KERepU6rh84gQqPTt9yZyIqslYfx/voTkp0vKTJIsnO5M63BgA4xwTh1wXSm9/jX1ls95uVreuH6gcnODo3I5yzbW4B9NpYMT4wIZGUqGyzdXdBin0PnKjD0pXUYlBKN7+4d6oKoSEpnL9ZgxD//sLq/tFqD1KdWAABiQvyx7vExiAhWuSo88hCWku9uHdoBz1/VU4ZoyFc0rjDFqq9ERL7hXHmdw8dumTtOwkiIiMgeE7sn4IE+AUjt1BX6prNYxca/LrVZ2G2hvYX+TRqtnsNCn+PHjqNjerpZu7UqM3bF1KTdWl/Tc1vuE6s+Y/kAoiYkSbyp0eis7ttVrMfFGg0Tb2TWLkyBW8Zw4M1TJIZzqSlPoVLWL26vM7DMHDkuOkTam2hD0mIkPZ+7eu+PE2ZJNy35YONJJt4QOcGMvm3x9E/7UKe1XHmhqaKKOqTGhrggKs92y5D2+GLbaZv6qvx449MTzf7Y9uUlL1RrUKnWMvGGzAx9aZ1Z210jUmWIhHyJov4yGAaWWyci8gkjO8UhNtQfJVUau4+9UKXxmQliRETuJsBPiQGJfhjTv53coTQrW3sKY9z8OjY7O1/yc8bGqHHX7OOSn9dbLH5L7gjsJ0niTbC/H6b0SMSqA4Vm+67vokLnhDApnobIZxRWOD6LgFyrcYJfjUYPvUHkDH5yyD2jOuKeUR1N2n7adRaPfrvH7nMturoniirqkBYbYrLOqTd6bGJn+CsFvL3O9MtpztPj4adUQKkQoFIK9X8rFJyRS+QkVWodej77W7N9ZvRtizdu6OOiiDyfKIr4Jqf5mTR5WZkuioacZcVDI9HtmVU29x/xzz+wmTOG6TJPT+uKF1ccNm77+ymwYOkBvH59b8SGcgIUOYdfQ+aNnhNQiIh8hiNJN+/f0g8Z7SKcEA0REZHnK7kQgI8/T2+5o886J3cAdpMk8aaiTostJ0rM2mf0bYtJcReleAoiIrfUOM4YE+LPpBuSVE6uY5+fC37eDwCY0iMR78/uL2VIbsffT4Hh6bFmiTfxrBpG5FJ+Nnz+/bQrH78fLIK/nwLv3dzPZypzOaqwos5qNb3bh6VgRt+2Lo6InCHIX4m8rEycOF+Fl1YcwppDxc3275McicggVrwhU/eM6oixXeIx8Y0NAACNzoANR89jwOI1TNAjp2m89mXlVyIi73emtAYjX7a+PGojf6UCiRGBuHN4CjonhiEq2B/d2oS7IEIiIiIi99DqxJviyjoMemGtSdsDY9PxxOQuAIDs7OzWPgWRT1EpgLAgf7nDIBsVNVQnSo8PlTkS8jYvzczASzMzAAAXqzXou+h3u47P7NXGGWG5HUsVwlLmLseO+RM4y5vIRf7MK0VsaABKqtTN9qtS6wA18OnmXCbetMDSsqPX9GuH167vLUM05Gz+SoXVpJupPRPx71u8O5GWWq9TQhgOPDcZPS6rPqbW6RHgp5QpKvJmjUm3en3LS0wSEZFns3WioUZvwOnSGtw8pANUSoWToyIiIiJyP63+BvTF1lMm2+/e1BcPjmdZJCJHaQ1AjUYndxhko6TIIAT4KbA9t1TuUMiLhQXanyc7ODXaCZG4n8k9Ei22v7XmmIsjIfJdsz/OaTHp5t7RHbFkdn8smd0fj07s7KLIPJdooYDAD3+dRcrc5dDpDRAtdSCPNf2dTRbbe7YNxzNXdHdxNOSpQgLMvy9+sP6kDJGQL1AqWfGGiMhXJEUGIS8rEw+N72RT/07zViJl7nInR0VERETkflpd8eba/skmSzw88NUuAMCS2f2t3gwjouZ1jGP1FE9xprQGap2BFW+oVarUOvS8bIZya3xx12CfWW7pkW92W2y/ZUgHF0dC5Lt2LZiIFfvPYd5P+632eX/9iWbP8eGtAzCxe4LUoXmsgvJaq/vS5600a3tsYmebB8LJ/ax9fDQGLF5j1n51n7ZoExEkQ0TkLV77/ShuHNQecWGsAkjSMla8YeINEZHPeHutfROcUuYux7anxiMxwjfGp4iIiIhaXfEmItjyGvN9kiNbe2oin1WlZsUbT9H4HmhphimRrQL8FBjXNV6y893y8XakzF2O/fnlkp3TXU3NsJzk2yUxzMWREPmuqBB/fLIpt1XnSIrkYGxTGp19S3dw6S7PFhsagLWPjzZrL6/VyhANebL/3TvUrG3T8fMyRELerlajBwAw7YaIyDe0VOHUmtySaokjISIiInJfrb5TvOv0RYvtf+aVYnqvpNaensgnFVXUyR0C2Sg8sD7xpq5h4JHIESqlAp/cPtC4fbFag4LyWuj0Iq7612aHz+sLpd+v6tMWF6s1WPjrQblDIfJpX/5tCP634ww2HitBTp7tyy/++sAIZLSLcGJknkkQhGb3r3x4JEQRiAn1R4KPVDjzdseKKs3a3l9/AvePTUegSilDRORpdp8pw3XvbzVrf/TbPZjRt50MEZE3a5wsFBPiL3MkRETkCo4mhM/6cJtZ23/uGIgxXaSbfEZEREQkNUEQlAAS0CSXRhTF0y0d16rEm8o6LbKPWJ495adodTEdIp+kUgB1WvtmOZP88susLwlBZK+oEH9EhfhDpzegQ0wwTl2oceg83duESxyZezpWXGWy/d0c89neROQ8Or0BS3fn47Xfj9p1XLc24WgfE+ykqDxbczNK20YGoZuPvL/7EkvVE7V6ERW1WibekE0Sm0nCq9XoEeTP/0ckHX+/+jE/X0j0JyIiIGvlYcnOVVHHSu9ERETkvgRBeBDAswCKADTesBcB9Grp2FYl3ny0MRf/2ZJn1j6uazzGdIlrzamJfFZiiAJd2sXKHQbZqHHGx72j02SOhLyRn1KB9U+ONWs3GEQcLa7ElDc3Nnt8ZZ0WMaEBzgrPbfgpTCtDfL7tFAalRssUDZHv+WlXPl6yYSBWEIDclzJdEJHnq6wzn1H657wJiAvz/vd0X5V3WZLtiRenQalovvIRUVOJEYHIy8rEmdIajHz5D5N93Z5Zhd3PTERkMKuTkDT8lfWJN1o9Jw0REXm77CPF+P1gkc39d86f4BNjUUREROS1HgbQRRTFC/Ye6HDiTWm1Bm+tPWbc5sAgkTT0BhHnKx1bN5dcT98ww89PySpf5DoKhYCuieHIy6q/gd15/kpodKaD3kqF4DMDHc9d1RP/3XrKuP3rngI8Pa0r2kQEyRgVke+Y2a8dtHoRBWW1ePeP41b7zZvWzYVRebZhHc2TsJesP4H507vLEA25Qvc2YSbbF2s0iPWRz3GSVmm1xmJ7n+d/Nz5+ZEInPDKhs6tCIi+kaqh4c/k1CBEReZ++7aNs6rdl7jgkRXIcxhsYDCI+25qHoko1ajV67D1bBmULyyETERF5kTMAyh050OE7xWGBfuiTHGnc/mLbqWZ6E5GtqrSonxJOHiG0YVkAPUtsk4zWPjYaM/q2NWnTG0Qs3Z0vU0TyW7q7QO4QiHyGUiHgpsHtkRYX0my/mf3auSgiz/fAV7tMthdf3ROPT+oiUzTkCkcKTZdNLKqokykS8nQRQaoW+zQuE0TkqKCGJfDKaswrtBERkXfZeqKk2f1zRqXhi7sGM+nGixw/X4WFvx7EBxtO4oe/zqJWo8fwdFboJyIi7yYIwmOCIDwG4CSAbEEQnmpsa2hvkcMVb1RKBb7822D0ePY3AMANA5MdPRURNRHkB4T4K+UOg2zUWOjLwMQbcqE6rR61Gj3qdHrUaOof3zKkPQrKarE9t9TYT+UjlZhE0fz3b1QnLnlJ5Er5ZbV47Ls9FvdN7J6At2/siyB+v7HZjQOTseZQfTn3b+4ZgrTYECh84y3dZ1WrdSbboQF+EEURAhPyyU4dYoLx/FU98MzSAxb3zxrUHhW1Ory04hDuHpXGykrkEJVSAX8FoOFSU0REXm/LCfNVFn55YDiigv0RFuhX/5ngp+B3Vy/SOMH0Xzf1xZSebWSOhoiIyGUay1Gfbvjj3/DHZg4n3gAwJt0AQKCKA+lEUgj0E/j75EFqtHoAgFLJC0tyje0nL+CGD7bZ1Hdahm9cHGv15ok3wbzBT+RSbSODEKRSorbhc7Gp3w8Wodszq5ASE4ylD4ywqRqDrxuWHmN8fGOT9/zGJQbJ+0zukYgXVhwybo9+JRuzBiXjpZm9ZIyKPI1GZ0Dn+Sub7fN1zmnj46NFlfj0jkHODou8lAiAV8FERN7v4fGd8NlW09UOrnx3s8W+b93YB1f1aWtxHxEREZE7E0XxucvbBEGIAlAmWpr9bUGr5k2O6lw/m7x7m/DWnIaImlAKgJazxjxGeUNpbd5EJFfpmhiOgSlRCAvwQ2Rw8//vzl6scVFU8vJTCEgMDzRpG/NqNmo15gkAROQ8OxdMwMhO1stP512owT2f7XBhRJ7r8koVggC8fC0TMLyZn4Uk7syMJBkiIU+mEGD2naip+LAAXNk7CVf2TsJVfZIwL7O7C6MjbyMCrGxAROQDnvx+r8V2P4WAph8DMSH+6Nc+ykVREREREUlLEIRnBEHo2vA4QBCEdQBOACgSBGGCLedoVcWbxuVwDp6raM1piKiJgioDzqvL5A6DbNQmIhAKAThRXC13KOQjIoJV+N+9w3C+Uo2BL6xptu/qA0W4c0SqiyKTT1mtFoUVdWbtVWodl7YhcqFgfz8MTo3GxmMlVvu8el1vF0bkuSZ0i8f3O88at4d1jMH1A7i0rzd79NvdZm09kjjBhezz/voTFr8TNSquVOOXPQXG7aW7C7Bv4SSEBXISAdlPFAHm3RAReb+qOp3Fdp1BxPRebfDuTf1cHBERERGRU9wAYFHD49tQX8AmDkBnAP8F0PwNObSy4s3K/YUA6geCiUgakYEcufIkfkoFooL9cb5KLXco5GMUNrxVTOye4PxA3IDOQpWwn+8fjthQu5bfJCIJvLr6aLP720YGuSgSzzaxe6LJdpsI/ty8WUFZLbbnlpq1V1q5yUFkza3DUnBt/3aYlpFocX9cWAA6J4SiS0IYuiaG4YlJnREa0Kr5WOTjbLkmISIiz/bfO60vS7ls7zkXRkJERETkVJomS0pNBvC1KIp6URQPwcZiNq0aYekQE4xTF2qw5cSF1pyGiJrQG4Ak3lzxGFq9AReqNdh07Dx0egP8lK3KZySyWUxoAPKyMk3ajhdXYcLr643bap1vLLX09rpjZm1X/2sznpne3Scq/hC5i2p180kCX/5tMBS8Q2eTyjqt8fFD4zvhsYmdZYyGnC3E3/JleVULv1NElwsPVBkri73++1G8vdb0O9L5SjW+v3coOsSEyBEeeRmDCAjg5zoRkbdrrpreF3cNdmEkRERERE6lFgShJ4AiAGMBPNFkX7AtJ2jVHeI7h1+6mTXrg22tORURNajUiDhSVIkSVlDxCKqGRJuLNVqsO1wsczTk65ouHQBc+v/p7Z6Z3sNi+zX92rk4EiLfZTCIeO7XA832ufmj7UiZuxz9Fv2O0mqNiyLzTE3fvwP8fOO93KdZuW8dFshKJOS4O4alIFBl/v4RbCXRi8gRXGqKiMj7tYsynyD61o19kJeViRGdYmWIiIiIiMgpHgbwPYDDAN4QRTEXAARBmAZgly0naNUo7q1DOxgfbz3JqjdEUqhrKFCx+kCRvIGQ3e75fKfcIZCPKyirNdke/Uq2PIG42Lc7zpi1/fD3YYgIVskQDZFvOllShe92nLWpb2m1BlVcQqdZO09dND5+5bcjMkZCrhARpMLB5yebtW84dl6GaMhbLFi6H3Va8+U4B76wBilzlxv/vL/+hAzRkaer0+ohAlCykh0Rkde7fKwJAB7+ZjcMBtFCbyIiIiLPJIridlEUu4qiGCOK4qIm7StEUZxlyzlaNdXp6Z/2GR+veWxUa05FRJeZNShZ7hDIRm0jg5BfVsvXjGT3/U7Tm95X9UmSKRLXqtOYL6kVHeIvQyREvis9PgzLHhyB6e9ssrg/KliFXc9McnFUnqtrmzC5QyAXs1QFanqGb3yOk3OEB9mWgHyRFcjIAYaGZe8D/JQyR0JERM52zb+3yh0CERERkSwEQVgmiuJ0W/u3KvHm65xLM8zT4zk4TCSFzlEKqIJCIbBms8doExGIqBAVXprZS+5QyMdN6JaANYcuVcsa2yVexmhc5+5RaahU6/D22mPGts+3nsIzV3SXMSoi33OxxvrN24s1WhdG4vkig5g86Gv+sLBkKSu3UWu8OCMDL87IAACkzF1usu+RCZ2gUiowpWciOsaFyhEeebjAhoSbOq15AjwREXmX0mq1WduEbr4x3kREREQ+r609nR1OvPlww0nj48yMNqjT6hGo4kwXotbyUwAnzlfJHQbZITk6GD/tykd+WS3aRpqve0zkTM//ehCfbM61uC/fQjlgb7T5eIlJ0g0AfLI5l4k3RC50oKAcsz/Osbp/fNd4VKl1CA1oVd6/z/D3M10ROGXucuxaMBFRrObltc5XmSaurX9yjDyBkFc5e7EGI1/+w6z9zTX135te+e0I8rIyXR0WeYE6XX3CTS0Tb4iIvN62p8bj5o+241jxpfHqNYeKkfb0CpN+rHJKREREXmiXPZ0VLXexLDTw0qD58n3nUMZZrESSOFpqQJ3WAFHkOrmeokqtAwAcKqiQORLyRV/nnLa679ahHVwYiXxu/mi7Wds/pnSVIRIi37Vi37lm9689XIx/fL/XRdF4p8bvG+SdxnU1nTU8+pVseQIhr/LRxlxcfll598hUzBmdhr+P6YjfHuGS4eSYanV9wk1CeKDMkRARkbPFhwfCT9nybaQJ3RJcEA0RERGRawiCoALwjiAINpf6czjx5oYBycbHbSODzGZlEpFjOkbW/y5xqSnPEdYwe39oxxiZIyFftG/hJIslfqND/BEW6LtLVNw4MLnlTkQkmScmdcF3c4Y222f5vnNmy52QbbbMHYfk6GC5wyAn6pMcic4JXPKHpPXE5C5mbR9uzMWS9Sfx7+wT+HxbnuuDIq/QOFyhUnLcgojIF3w3Z4jVfdufHo+8rEy8cl1vF0ZEREREJC1BEN4XBKFHw+MIAHsAfAZglyAIs2w5h8PZMgrFpYvr/LJazPpgm6OnIqImjlw0yB0C2WndkWIAQEUdK3+R6/kpFbh+gHmSSWm1Bqv2F8oQketd06+dWVvTynxE5HyCIOC2T6wvNUX2uXzZ0S+2nZIpEnKFGo0OKXOX42jRpdd9yez+MkZE3iJYpWw2GXloWqwLoyFv0lj1mmk3RES+IWPhaqv7vtpuvRIzERERkQcZKYrigYbHdwA4KopiBoD+AP7PlhM4nHgjiiIWXtHduP3x7QMcPRURWaA3cKkpTxERVF9VZPvJUr5uJIuJ3RPw1FTzpZVW7m9+6RdvMSg1yqxNZUMZZCKShlqnx9hXs1Gr1Tfb74e/D0NeVqaLovJs3+04Y7L9yITOMkVCzqbVG3DVu5vN2if3SJQhGvI2CoWArGt6Yc+zk8z25WVlIrNXGxmiIm8QHtSQ5M5KvUREXq+8xvpEw2v7t8MjEzq5MBoiIiIip9E0eTwRwM8AIIqizTPcHZ4OfvZiLRb+etC4XVypRrsolj8nksruMxfRv0O03GGQDYJUSgDAI9/uxpnSGjw4nhec5Hy5JdUY+2p2s31W7ivEWze6Jh45dWsTLncIRD5NrTMgt6S62T6HF02BPxPibHbHsFQsWX/SuN15/kpktI3AN/cMQUgAK3p5k4vVGhwrNq1wlBAeAI3OwOWcSRJ1Wj16P2c6S/3ru60vF0FkC62+fsKJP5eaIiLyehHB1pcx/37nWWQfOQ+VUoCfUoBKoYBSIaBTQigWX52B6BB/F0ZKRERE1CplgiBMB5APYDiAuwBAEAQ/AEG2nMDhUdvyWtNM5+ve34oTL05z9HREdJmYkAC5QyAbFVeqjY+vs7DkD5EzVNqwtNnbs/q4IBL5zf95v8n2uzf1lSkSIt8UHqjCrw+MwBXvbrLap+uCVQCAK3on4caByRAEQCkIUCgECAAMIqAzGGAwAHpRhFZngMpPgVGdYiH44Gz6hHDz74H78stRVFGHtLhQGSIiZwkPMr+RUVShRuf5KzGsYwy+YoIEtVK1WmfW1p1Jy9RKWl39EtlMECQi8g15WZn4bGsenll6wGxfSZXarO1YcRUmdk/AjL7mS4MTERERuak5AN4GkAjgkSaVbsYDWG7LCRxOvJn+junAut4g4s+8UvRuF8kLb6JWiA4UUFonon00K0h5ipgQf5RWa3B40RQENlS/IXK2AD8l3r+lH15edQQnL6s08eN9w9CvvfnyS95oy4kS7D1bbtI2hctzELlcRrsI5GVlYtX+c7j3i7+s9vt1TwF+3VNg83lfnJGBmwa3lyJEjyIIAqb0SMSqA5cqmS57cASTbrxQoEqJvKxMPPm/PfjfzrMm+7acuICUucsxpUciXru+N6sdkUNiQgMwKCUaOXmlxrYgf16zUOto9fWJN1zelYjId8wa1N5i4o01V/RKcmI0RERERNISRfEogCkW2n8D8Jst53B45O7K3kn45bJB8+ve3woAZoPE+4ZoERZovSQhEV1SWifKHQLZobxGa1we4Nc9BRjbNR6xoaxWRI4RRRGLlh3CJ5tzW3Weme9tAQAsvX84eidHShGa2yqt1pi1pc9biS1zxyEp0qbqf0QkoSk92yAvKxN1Wj3+On0REOsreugMIs5XqnH3ZzvsOt/TP+3D1J6JiPLBEuWFFXUm24uX3vc65gAAIABJREFUH8Q39wyVKRqSikZnwGdb86DWGaAQBCgVgFKhQK1Wb/WYVQcKserZQiSGB6JPciSCNRqMGGmAH294k42WzO6Pvot+N253nr8SABAZrMKf8yYweYLsphfrxy0UPliVjojIV3Wat9Ku/r5YuZSIiIg8lyAIdwPIFkXxmFD/ReYTANcAyANwmyiKu1o6h8OJN69e1xuJEYH4dHMuHpnQGecr1fjPljwAMEm6AYCMhasxoVsCPrptgKNPR+Rz/rs1D3cMT5U7DGqBn1JA28gg5JfV4snv9yI+LAA58ybIHRZ5KI3e0Oqkm6biwrw/CeyBryx/12H1PSJ5BaqUGNYx1ridk1tqd9JNoyUbTmLu1K5SheYxZg1Kxu4zZcZtpYID197ggw0n8Orqow4dW1hRZ7zWviW/3Geq21HrNU26aUqn56QPcoyy4WZqlYWlzIiIyDt1axOOQ+cqbOr76wMjeP1CREREnuZhAP9peDwLQC8AqQD6on4JqpEtncDhxBt/PwWentYNT0/rZmxbeGUPHDpXgalvbTTrP75bvKNPReSThqfHttyJZBcS4Id7R6dhQUOp1eeu7CFzROTJAvyUeHJyF7zy2xGHzzEoNRrfzfGdiggTuiVgzaEik7bcl6ZxZhWRGykoq8UtH293+PjZQztIGI3nuGFge/zwVz5ycuuXhzl5vrqFI8gT3D0qDYIgoEqtg8EgQm8Q8dEm60m38zO7ITU2BHqDCINYXx3v7PGDTLohh/VtH4mf7hsudxjk4RqrvFYz8YaIyGesfHgkvtx+CvN+2t9i3yve3WSy3SUhDHpRRJ/kSCy+uicCVVz20hMcLKhAdEgAglRKdIgNRjhXtSAiIu+mE0VR2/B4OoDPRFG8AGCNIAgv23ICSReJT5m73Oq+WYPaS/lURF7vh51n8VSTxDZyX50TwoyPl+09h6kZbWSMhtxRXrm+2c9IKT0yvpNLnscdXPHOJuzLLzdpUyoEiCLAvBsi93DyfBXGvba+VefIK6lGWx9dOu67OUNx9mINymq0MIisTOENAvyUuH9sOjYcPY9bP8lpsf/i5YcAAM9M7447R9RXw8y+4HiCLvme8lqtyfau02XQ6blUGbVOaKAfBAAXLSz7SkRE3mt4R8cmih4pqgQAHC+uwu3DUtCzbYSUYZHEwgLrbxu+ve443l53HADQJzkSP9/P5G0iIvJqBkEQ2gC4CGA8gBea7LNpcLrFxBtBEO4BcA8AJCQkIDs722K/F7fXWj3HR5OCrR7nqaqqqtzu39TcayVHvHL9jNzxtbmcLb9XgVX5yM4uMmv3Bp7wGjWy5fcqp/DSLL+egRdd+m9zh5+lO8QA2P55JYfd52oBuCYT5KaPTKtK3Nc7AIPaSJpnC6D+dXeUtdfK3v9LpeU1Zm16g4g3/rcWehHoE6eEv9K+n7s7/H92hxiacrfvF/Zw9/gAaWO8/LWS69+//owWnx6Q7kbcLxt3QXtW5RGvp60cfR/MPu68mOT8+brza9v0tYqLi5MsznWntS13aiJn/1Gk6U4BcJ+fl7vE0cgV3wU98feksNpg1pY+byV6xipxa3d/xAfbloDjzM8rT/puAbh/jK56rVQKEUdO5CE7+5wkzyUVd3x9XBFTS++B7vhzacrd4wP4PtjI3eMDXPdatZYn/Cyb0uhFZOXUteocMzupUHJsF7KPSRRUE7a8VrxHYrtXRgWhXC1CYwCWHteg8EI53wMbuHuM/Ly6xN1j5Gt1CWMkN/EMgB0AlAB+EUXxAAAIgjAawElbTiCIdsycHDBggLhjxw6L+2yZyf/+Lf0wpad3VILIzs7GmDFjJD+vIAg7RVEc0NrzXP5aOSve5sjxnK58Xme9Vo2/S9lPjEFKbEhrT++WXP1/w9m/Vy+tOIQlG+rfc/OyMlv7NHaR6/fMWTE467WSW+PPSBTrl4nQNywtoRfr/zYYROw8dRF/+0z6mOdN64a7R6VJft7s7GyMHTu21a9X09fKkf9L1Wodejz7m8V9Nw5MRtY1vew6n7f9TjXypu8X9nD3+ADzGKV8rV599VVZ/v3vZR/Hy6scr8gxb1o33DUiFQqFaeKcu72ezvi9kvPf6M3PLdVr1aVLF/HIEemrzWStPIz315+wuG/p/cORHB2M6BB/Y5u7/C540ueVVDz59+TDDSfxwopDJm2DUqLx3b22LVHqzM8rT/puAbh/jK54rbR6AzrNW4nHJnbGQ25WcdMdXx97YpLi9bL0HuiOP5em3D0+gO+Djdw9PsB1r1VrecLPsqnfDhRizuc77T7O30+BAR2ikBgeiEVX90RIgPXJYc5+rXiPxDEPfr0LB/LLse6JS+fz1fdAwP1j5OfVJe4eI1+rSzwxRileL/+EMDF2Vt/Whua1zr210fgzTuruL971uWOV9xYPOGfzayUIgh+AMFEULzZpC0F9Tk2Ls9ElmwKf+9I0vLb6KN79w/o0zLIa+2b1EfmyABVLf3uK9jHBxsd1Wj3XKSarBEGAUqhfDgkAzpTWYNrbG1FZp2vhSPt1TQzDqkdGSX5ed/NnXqnFdn8/BR6b2NnF0RARANw9Mq1ViTcvrDjklIRBIncVG+pvdZ9GbzBJuiFyxNGiSrOkm5dmZiCzl3dMjCLX0xvqJ/GpuGQZERG14IPZ/TGmS7zcYRARERG1SBRFHeqXmmraVm3r8ZIl3giCgOHpsc0m3kQGc8CQyFaF5XVoE2HTknEkM43uUvl2fw48kh1WHyxyStLNg+PS8fikLpKf192cK6/F7Z/+adbu76fAmkdHIz48UIaoiOiBr/5q1fFtI4NQVqPhtQN5tVqNHk/9uBfbTpaisMJyyf4APwUGpkS7ODLyRjq9aaXjHknhmDWovUzRkDc5ed7x5WeJiMizjOoU59Bxl4/bvHlDH1zdt60UIRERERG5FckSb5qz6KoemNg9EYkRvAFGZKu4sAC5QyAbNV0SbNWBQkzL4MxRss1dI1Ixo29bvLvuOD7ZnNuqc615bBQC/JRoGxlktjyLt7K2WubL1/QyqURFRK716MTOyC+rxcGCChhsX9XWKL+sFn2e/924HeyvxMHnp0gYIZH8DhVW4OfdBc32UesM+L/v9+Dla3u7KCryVvrL3oyZ0EWtVafVAwCim6nYRURE3iXIX4lv7xmCGz7Y1qrziHDgIpGIiIjIA0iWeKPW6THrQ/MvXcOT/DB7aIpUT0PkM3afKUO7KN449gQH8suNjwenchCb7BMd4o/5md3Qv0MU1Dq9sf2DDSdxuLDS5vNMeH0DACAtLgTrHh8jdZhuKSnSclWwKrX0VYSIyHZdE8Nx29AUPPn9XonOFybJeYjcSb/2Udj+9HhMeH19s9XvwgNVLoyKvNW7fxwz2f7Pljw8OC4dMaGc7EGOEVCf6B8fxgl2RES+YvWBQtzz+U6Hj9+1YCKiuIQqEREReTHJEm+sLa9SrmYGM5E9gv2AGl397G7yDNcPSMarq48CAD7YeBJPTe0mc0TkaRQKAZm9TCslzezXDgBQWq3BE//bg3WHi206V3mNVvL4PM0NA5PlDoHI503qnogn0XLizSMTOuG6AclQCgKUCgEKoX4JWwBQCgIigpl0QN6p57O/NZsoek2/dnjtela6IWnMndoNf50uw/lKtbEtmje+qBWEhiFA0VoJSiIi8jofbXS8UnNeVqaEkRARERG5J0kSb0RRROpTK8zaFQJwWw8O5hDZo3HYSiH4xlIx3mB/waWKN5yVTFKLDvHH/WPTbU68uVCtQUmVGrE+MoP55Wt64f9+ML253/PZ33Bk8VSZIiIiAIgIVmFwajS255Y22+/NNcfw5ppjWDC9O+4akeqi6IjkN2tQMj5s5ubFD3+dxfRebTC2a7wLoyJvlRobgj/nTcDn205hwc/769ueWoFfHxiBjHYRMkdHnqhxtIJ5N0REvuOh8Z1wy8fb7T4uM6NNy52IiIh8UGyMGnfNPi53GG5r8VtyR2A/SRJvXlp52GS7Q0wwVj86CgF+SmRnZ0vxFEQ+Z1SnOLlDIBstWnYIAPDadb1xTf92MkdD3qhvciR+um8YZry3xab+AxavwbNXdMcdw73/Jvb1A5OhF0U89eM+Y5taZ5AxIiJq9O2coajT6tF1waoW+y5adpCJN+RT5mV2x7zM7gCA65dsRY6FJLXzVWqzNiJHiaKIkkrT/1NXvLuJM9DJIY0ThUQw84aIyFcUlNc6dNwjEzpJHAkREZF3KLkQgI8/T5c7DDd2Tu4A7CZJ4s1VfZLwwYaTxu1TF2rQZf4qvHZdb8RI8QREPiQmUMDZKhEKBSveeIrckmoAQFJkkMyRkLf5cvspzPtpv0PHfro5zycSb44WVeLlVYdb7khEsghU2b50Zsrc5WZtj07ojIc5UEte7uVremHMq9lm7f/3/V7M/3k/Dj8/hdcG1GrPLzuITzfnmbR9esdAeYIhj9dYoNfAvBsiIp9x/YBkJEUE2V315lhxFZIig6BSKqBSCsalhYmIiIi8jSSJNz2SInDshanoNG+lFKcj8mkX1fUjV760VIynm9Q9AasPFuHl3w7jp/uGyx0OeZGV+wodPvZ0aY3xJvb8zG7428g0qcJyK7M/3o6LNVqTNs7cJnIPfxwuxh3/+bNV50gI53ch8n6nSmus7uuaGObCSMibDUyJNku8yb9YC7VOjwA/25MkiQBAaFhsiktNERH5lrBAPzzQJwDJHTvj5PlqLGkyGdua+778y2R7y9xxnLxIREREdkkUAjDXr7NDxy52YeUcSRJvAJgl3fROjkRmrzbYtplrkxHZo1esElvP6RERpJI7FLJR40SNSd0T5Q2EvM4XfxsMALj/y7+wfJ/jXw68deklvUFEUYX5MhxP/G8PXr2utwwREVFTd/235aSb6BB/fPm3wejWJtwFERG5p9GdLS8x+9XdgzGsY6yLoyFvNS2jDX68bxhmNlm6dP7P+7Hz1EW8cUMfGSMjT9R4DcylpoiIfMcDX/2FZXsbxqZ272u+82VUSgF6g4gJ3RIQHeLvhOiIiIiI5CdZ4s3lSirVuFCtcdbpibyWSik0/K2QORKy1baTpQCA48VVMkdCnkQUReTklkJvEAGhftZo4wC2AEAQ6rcFwOGkm7lTu+Le0R0li9ndVGt0FtvnjPLO6j5Enmbp/SNwxbubmu3DpBuiej/dNwwzmiREBPgpmHRDkuvXPgpzRqdhyfpLs9O9+bsiOY8x8YZ5N0REPuOeUWmXEm/s9Pr1fXBF7ySJIyIiIiJyL5Il3px8cRrSnl5h3M4vq8XwrHUAgNsrDmDhlT2keioir7bhbP2N5MLyOiRGBMocDdliWkYivs45gx/+OovXrmeVDbLNhxtP4sUVh536HN5+I6WovM5ie6cELstB5A7ey2658uXUtzbCTyHg5/uHo2fbCBdEReR+CspqTZJuAO+tVkfyEkXRJOnmp/uGoQuXMyMHKITGpaaYeUNE5Ct6tYvEdf3b4X87z9p97INf78KDX+8ybt89MhWPT+qCQBWXuyQiIiLvIVnijUIh4PCiKfjxr3w8/ZNpqcH/bMnD8n3n8Oe8CVI9HZHX0+o52O4pBqZE4+ucM3KHQR7mhoHtsedMOS5UqyGKuFSkXbxUsl0UgR2nLtp13hHpsRjdOQ63DusgbcBuaOIbG8zawgL9oNbpEeDHwRsiuS26uicq6rTYfPxCs/10BhHT39mEw4umcOCVfNIj3+yWOwTyAVq9wWyJ8DYRQTJFQ56uoeANDMy7ISLyKfMyu6GqtAgrc7WtOs+HG3MRGeyP+8emSxQZERERkfwkXWoqUKXETYPbmyXeAMD5SjV+2VOAK1lSkMgmxZV1SI4OljsMssHYLvHGx9/tOIPrByTLGA15ioggFf51cz+z9iOFldh8vMS4PaZLHP6dfQLVGr1N5910vAQavQF3+8ByS/Mzu2Hx8kMmbZV1Opa8J3ITSkFoMemmqa4LVuHO4akIUClwdZ+2rMJAXu3Br3fh1z0FVvd/f+9QF0ZDviD/Yq1ZW0J4gAyRkDcQjBVvZA6EiIhcKjLYH1sLLC/7ba9XfjuCEemx6J0cKcn5iIiIiOSmkPJkn287hZS5y63u78Xy8UQ2O2thYJTcU1SIv/Hx9zvsL7dK1NTkNzfg+WUHjX9eXX3U5qSbRjm5pfhi2ykYvHgKanFlnVnSDVC/ZEKNnT8vIpJeeY0W+/LL7T7uk825+Hf2CUx+07yiFZE3aS7pBgDu/M+fLoqEfEVKbAh6JIWbtKU+tQIaLmtGDlA0lLwR4b3XG0REZEoURWw+XoIytXTv/SEBks4LJyIiIpKVpN9sFvy83+q+D2b3R0psiJRPR+TVOsVzlrenqKy7VF71q7sHyxgJeYNv7hmCVfsLAQAHCyqQk1fq0Hnm/7wf83/ej+wnxnjl529caACemNQZr64+atI+470tAIC8rEw5wiLyaaIoYsmGk8haedih4xde0R06gwi1zoDJPRIkjo7IvexaMBGfbzuF138/anF/T05aISf46u4h6P3capO2zvNX4q8FExHdZDIBUUsaK954cZ4/ERE1caSw0uHJEV0SwjB3alcMSYtBkD+XFiYiIiLv5bKU4p2nL6JKrcOMvm2NF+hEZF1EsEruEMhGvx0oAgC8fn1v+CklLSRGPmhIWgyGpMVY3S+KIhYvP4SPN+XadL6E8ECpQnMrgiDggXGdzBJvAOCNG3rLEBERafWiQ0k3UcEqJEUGYe3hYrxxQx/EhnLpE/J+USH+eGh8Jzw0vhMA4L3s43h51RHj/i0nLmDky+twZe8k3D0yDZHBTIqg1osIUuHru4dgxb5z+HzbKWN7MG+CkQMEgGtNERH5iPJabcudLGgfHYxP7xiIpMggiSMiZxJFEWsOFePsxRqU1WhxoMD+arZERES+SNI7xJ/dOcjqviXrT+Kx7/Zg20nHZu4T+ZpaLpXiMWo19Wsbv5d9QuZIyFfYknSTElM/uOHts4memtrVrG1G33YyREJE/n4KHHx+Mp6eZv572ZyLNVocKKjAxmMl+HlXvpOiI3JvV/ZOMms7U1qLf/1xAvObqSxLZI86rR6zPtxmknTz0swMBKq8+/siSU9sSLjRM/GGiMgnDEqNxld3D0aInWNMp0trMCxrHWoaxk7JM5wsqcbdn+3Ac78exFtrj6GkUo3BadFyh0VEROT2JKt4c+2/t2DHqYtW998+LAW9kyMwhB/QRDZJivTOKhXeSNdQX/t4cZXMkZAn+uNwMe74z5+SnS8qWIXfHhmFeC+tdHM53igici/B/n64dWgKftiZjyNFlTYd8/D4TpjQLQEKBdC9TbiTIyRyT/Fhlj+3h6fH4IWrM1wcDXmrQJUS380ZiuuXbDW2/bQrH7MGtZcxKvJElWodRACRQazGRUTkK4Z1jMW+hZOR9c1afLBXbdexm46VYFKPRCdFRlLT6AwAgNeu642r+7aFUsEVLIiIiGwhWeKNtaSbTycHY+zYsVI9DZHPyL9Yi04JYXKHQTZYc6hI7hDIg0m9rNzFGi0GvbgWggAcen6K1yem3Dy4PZ795YBxe3TnOBmjIaJqtQ4ancHmpBsAeGvtMTw6sbMToyJyf9YSuN+d1Y9L0JKk0uNDTbZzckuh1Rug4pK5ZAdFwxLyBla8ISLyKW+vO2Z30g0AlDm4VBXJKyRAyaQbIiIiO0iWeHPo+Sno9swqs/YaVhEkckj7mGC5QyAbTe6RiM3HL2DO6DS5QyEP1K99FPKyMlvs98Lyg/hwY8tLTDUSReBoUSV6tYtsTXhuL7ek2mR7/dHzMkVCRLtOX8SM97bY3D8tLgS3D0vBhG4JToyKyDO8s+6YWduc0WmICmE1CZLW2Ys1Zm1zPt+JT24fKEM05Kkal5rizTgiIt9y69AUvLnG/HtrS4amxTghGiIiIiL3ItmUpiB/JRZd1cOk7foB7RCi4kU4kT3igup/ZwL8vLtKhTfZcvwCAGDWQJZoJ+eZl9ndrv4PjktHRtsIJ0XjPhQc7CdyG50TwjCqcxxCA2zL7T95vhrPLD2AYVnrcLiwwsnREbm3N27oY9a2ZP1JvPLbYeMNbiIpWErK7taGlVbJPvqG5ZYbK98QEZFviA7xxzvjgtE72b5JXmsPFcFg4HdaIiIi8m6S1hJesPSAyfYTk7tIeXoin3C+lhchnmbVgUIAQAdWKSInG9Ahyua+/dpHQfCBgfAdeaVmbb/sKZAhEiIKCfDDZ3cOwv7nJuOzOwfZdezS3fy9Jd8WqFJiWkaiWfu//jiB48VV0OgMMkRF3mpgiul3ytAALmdG9mE+IBGRbzpxvgpzN9Zgz5kyu45b+OtB5FgYvyEiIiLyJpIm3szs29Zke9ALa3H7qmqkzF2Oo0WVUj4VkdfjzFbP4wtJDiSf8hotXru+t839feFzV28QsXxfoVn79pMXZIiGiJq69ZMcm/u2jQzCbUNTUFxZh5IqNbR6JhiQb6qss7xO88Q3NmDWh9tcHA15s3/d3M9ku4+ds9aJAlT1w4n8zCYi8i3788tRrbX/uGkZiRjC5aaIiIjIy9lWB95Gr9/QBw+O74Sxr2ab7Xvyf3swo29b3D48VcqnJPI6MYECag0KJnEQkVG1Wofez6+2uf+I9FjcOjTFeQG5iRqNDhuOnjdp+88dAzGmS7xMERFRo98eGYXJb26wqW9+WS2GvLTWuB2kUuLQoinOCo3IbZXXWr+L8dD4Ti6MhLzZt3+exj9+2Gfcfu7KHhjakTfCyD7KhuVe1azGRUTkU0Z1inPpcURERN4sNkaNu2YflzsMt7X4LbkjsJ+kiTcAkBobgiOLp2DGv7bg4LkKY/ues+XYc7Yc206W4v3Z/aV+WiKvcaFOBKCXOwyyUWNlokCVpAXEiEwE+yvxyIRO+PGvfAgCcOpCTbP9Nx0vwXVLtuDHvw+Hv5/3/t8MC1Rh/ZNjMPqVbGPb7Z/+iZx54xEfFihfYEQ+rlqtsynpJi02BDqDCJ3eAK1BhCjWf64+Pa2bC6Ikcj9jOsdh79lyi/tu+yQHeVmZLo6IvFFsaIDJdkF5rUyRkCer09Qn3IQESD6sSEREbmhHXimufX+rw8fP/XEfru3fDn5K7x2jIiIislfJhQB8/Hm63GG4sXNyB2A3p1whB/gpseLhkQCAe/79G1afulQye9WBQoiiyGoeROQVGt/LdPr6G4e8gCSpaXQGXPnuJhwutG/pqP35Faio05rdXPE2yVHBZm0BSqUMkRCR3iDio40n8dLKwy32vX1YChZe2cMFURF5huwjxXh7nfVZTv+6qZ/VfUT2GN8tAfeO7oj3158AACxZfxJPTWXCI9nHT1l/HcylpoiIfENhRZ3NfWNDA3Db0A4QBKBhviKGdozhmCkRERF5PadOTdl8vMQk6QYAwgM5G4aoJf68EPEo8WEBKK5U41RpDTrGhcodDnkZvUG0O+nmrRv74IpeSVAovD/J9UK1xqwtJ68UE7snyBANkW9bf7TYpqQbAKhS61ruROQjfth5Fo//b4/V/UcXT/XqCnbkerrLkiX0BtG4dBCRLcoalsYL4xgfEZFPmN4rCcM6xqLfot9b7FtSpcbe/HLcODAZ47txbIaIiIh8h1NH717//ajJ9oYnx2LvwsmsdkPUAg1njXmU4ko1ACCMZbbJCYL8lcjLyjT5s3fhpGaPefib3Uh7egXOlDa/JJU3WHuoyKxtaMcYGSIhorFd4vH+Lf0wwYbB1Zl927ogIiLP0NwM4ndv6sukG5LcvEzTCjcdn14hUyTkqUL96699azVcJpuIyFdEh/gj5+nxNvX9/WAR7vrvDjz1414nR0VERETkPpwygldZp8WmYyXYeeqiSXv7GPPlIIiIvEV8eKDcIZCPCA9UIS8rE72TI5vttz231EURySfYQsJbWY15FRwicj5BEDClZxs8PL5Ti32HpDFBjqjR/WPTjcm1WTMzTPY98NUumaIibyYIAvY8Y5rInTJ3OTQ6TgAh2zROFmJiIBGRbzAYRDz/60EMenGtXcd9nXMGKXOX4+NNuU6KjIiIiMh9SHqFLIoi/vbfHchYuBq3fLzdZN+LMzKsHEVETXWMUKBbm3C5wyAbiQ2LFceFBcgcCfmadYeLsOdMWbN9nmhm2QpvcWXvJLO2Ef/8A++vPyFDNEQEAFe8u6nFPlUaLjVFZMnw9FiztvyyWhkiIW8XEazCsRemon30pQlSn23Nky0e8iyNK5Np9aK8gRARkUtcqNbgk82OJ88sWnZQwmiIiIiI3JOkiTe1Wj3WXLbkw+LhQcjLysRNg9tL+VREXqtMLULHpaY8Rml1fWWN24elyBsI+ZwgVctLm/375n4uiEReeoPlwf6slYddHAkRAUC12raEGi48S2TZqQvmy0QeL66SIRLyBdVqHeKbTCBYvPyQjNGQJwlUKQEAegPHLoiIfEFcWABynh6PVY+MRJsQx67mHv6GlRyJiIjIu0maeBPUcOHd1PzNnJ1HZI8LdSKOcXDdYwQ0vO99v/OszJGQr4kJ9W92/0/3DcPUjDYuikY+1oZ78rIyXRoHEdXTWUmGu1zGwtVImbvc5E+ODyyPR9QSS1UUb/skBx9tPClDNOTtvt95FjsuWyK8saInUXO0DZOFlAouNUVE5CviwwPRNTEcL40Mxr6Fk1o+4DJLdxc4ISoiIiIi9yHpFbIgmN/+enpwoJRPQeT1VBy38iiBDWvaa1mliFwsLTak2f1Nlw3wZgqFgHtHdzRpe2hcukzREFFEkAof3zbAoWPbRPC6gajKStWo/h2iXBwJ+YK7RqSate28LBGHyJIAv/oJKOU1GpkjISIiV1uVq0XGwtV2HfPOrL6cIEVERERer+V1Kux0VZ8kk+zlzlHmVXCIyLr/b+/Ow+Soyj2Of9/Zsq+EbCRkIyQkgZAQdhAw7CAgqMBFWS4KiMgVRYwIGgERrxcXFkG7xWz/AAAgAElEQVQuiILILl4kbBEIu0ASyEZWQiAJ2UP2zGSWc/+o6kmnp3umZ7pr6enf53nmme6q6qq36vSpOn3q1DllJdCjk248FYpSf3D7/fp1iTgSKTZlpSXs0bUdyzek71nuntcXc80Jw+u/o63Z1cfvzd2vflT//v2lGyKMRqR43frifG5/eVFWy540qjftKko5ZNBufHVcv7QN+EWK0QEDujH/phMZdt3zu0wftYfKmpJ/ZsZt547hyod3Dv2g75pkY0eN9+BJ53blEUciIiJh+ctbS/jZ03OyWnavnh254bSRHLZXj4CjEhERKSxmdglwCUBpml6PpbDlvW+N358zJt+rFCkq22tgxcbKqMOQLFX5FY5zV2yOOBIpJjtq6lixcXvGRjcAf3x1Maff+QabKqtDjCwatSlDIry+cC1bM/QYICLB6dKMm2/PzV7JLWfux9cO7K9GNyJJnp7xWYNGNwBTl6gXEgnGaaP7csPpI+vfD7/+eQ39J00qLfWu3XUamkxEpGhk2+gG4ORRvdXoRkREJA3n3D3OuXHOuXElepCh1cl7jzepLnx+K+OXvMd9Fx4Y9KZEWoXeHYzOHRsfQkbio40/1NTHa7dSVVNb3+W2SFAem7qUa56YmdWys5dvYuGqzRwwoHvAUUWrurZhhf8zMz/j7AP3jCAakeI1qIkh8JJ945ABlBVBj1wi2Rg4YVKj84f37sTYAV1DikaKzTf/MpV/zV21y7SZyzZw0KDWXX6U3CSGXK6s1pDLIiLF4v3rj+PJ6cu4adLcJpe97eVFLFi1hbu/cUAIkYmIiIjEQ957vAGYfNUXdnn/0rzVDJwwqckKRRGByhro36191GFIlpKf0lelo4Th0MG70adL48PR/eLLo/jhCcOY8/MTWn2jG4B7X1/cYNqJo/pEEIlIcRu/Ty8W/uIk3rl2fJPLPvjvTxh87bO8vnBNCJGJFD6VMyUI97/58S6Nbob16sRHN5/MN48cHGFUUghKzDBge3Vt1KGIiEgIKqtrefHDlVk1ukno0akiwIhEREREgmVm5WY2xsx6ZvuZQHq8GdqrE3edN5ZvPzS9wbztO2ppV6EeIUQy2VDlaFMeSJs4CUjX9uXstXvHZg2xIdJczjn+9u6nfLxmK2eM2YM65/jjqw0bnFx8xCDOO3hABBFGp1Pbhnnvt5MXMPG0kWmWFpEgrNpUySUPTmP91irKS7IvxwzevWOAUYkUhiW3nMKdryzi1y/MTzt/3srNjP75i/XvJx7aeANckWxVlO16vr75zFGUqjcyyUKiv8lyfV9ERIrC1+99h6mfND306ag9OvP0d46gRNcHERERKTBmdjdwu3Nujpl1Ad4GaoHuZna1c+7hptYR2N39LVU1aaff8Ez2Y4GKFJu6Oq/6avonGyKORLJVWV3Lhm3VzF+1OepQpJWbsWwjP3lqNve+8TF3TfkobaMbgK+N6x9yZNE7dp9dGxyfMLIXPzpxeETRiBSn95asZ8bSDSxdv53Fa7dm9Zkxe3alT2c1IBABKC/N/ubEmu0Nh1gUaYnUxtqPvbcsokik0KzeXIkD2rcJfAR7ERGJgatPGMbevToyok/nRpebvXwTg699ludmrQgpMhEREZG8OdI5l2jIchGwwDm3L3AAcE02K8h7w5vK6loGTpjED5+YmXb+cSN65XuTIq1G4mmAz7ftiDgSyVbbcq8Hr82V6RsbiuTLbh2y66L31QWrA44kfiY8OWuX9787e4x61xMJ2an79eXK8UOb9Zn3P91AdZ2GzxEBuPiIwfzHwXumnXfU3rtz/IhePPPdI1hyyykc2Fs3uiV/Jpy0s7Hyo1OXsn6rfotK03br0AaAKg2DJyJSFA4ZvBtPXX44p+/fN6vlv/3QdMbeOJlFq/WgooiIiBSM5AqR44B/ADjnVma7grzU2A2cMKnJZfbo2o5HLz2Eft3a52OTIq1aVY0qrwrRth01tK/QjRAJRv/u2V0/b352HucetGfa4Zdao5UbK3l78bpdprXVcH0ikRjTv2vWyy78xUmUlyqvioD38Mrw659vMH3ejSfWN/IWCcplRw3h34vXMWX+GgDG3jiZJbecEnFUEneJEURMI4mIiBSFz7fuYMyNk5v1mfVbd3Dsb15LO2+fPp155FuH0KV9cdRdiYiISEHYYGanAsuBw4GLAcysDGiXzQpyvkOcbbeByzds58d/n8WDFx+c6yZFRGJp+efbGdqrU9RhSIxt21HDzGUbMbwerhL11F6FtXHOPW9TXZv78BH/98FnfP2QAU0v2ArUuobH6zeTF/CD44dFEI1IcTtmeE8+vOEERvz0hSaXHfqT5wC4+vi9ueKLzespR6S1qSgtYXT/rsxYuutws68uWMMJI3tHFJUUkyuO2au+4Q3A87NXcuIoffcks0QJXO1uRESKQ+d25Vx42ED+OeMz1uWhd7y5KzaxanOlGt6IiIhInFwK3Ab0Br6X1NPNeKDpXmjIQ8Obw/bqwfjhPflk/TYWrd7S6LKvL1xb3zvOqz88mgG7dch18yIisXHPa4v59VdHRx2GxFRldW1WN6Nz0ba8hC7tyjlyaI9AtxMXldW1HH7Lyw2m3/7yIjW8EYlI+4oyxu7Zlemfbmh6YeDIobsHHJFIvNXVOarr6jhpVO8GDW8ufXAai35xEmXqHUoCNm5gd4b37sS8ld5wEJf9dRpzfn4CHdqoN09JL9H2XT3eiIgUh9ISY+JpI72/Byfz5zm5Nb5559rx9OrcNk/RiYiIiOTOObcAODHN9BeArG7u5VyL0qVdOfddeCBT5q/mwvvfy/pzR/16SpPLnDl2D0b06UxldS2V1XWcfWD/rIfaECl0zjlMtVgF5fFpy9Twpogd+suXWLGxMvMCzzccQiIXVxyzF23KSjCD3Tu14Wvj+hfdOaOitISTRvXmudkNh9j8dN029txNZQaRKIzs2yXrhjerN1fx4WebKCs1SurPYQ7noM7BHt3a0VE3fqUV2VxZzcPvflr/fb9p0txGlx963XOM6tuFW87al906tAHg88o6Vm6sxAx6dmpTdNd/CcYX9t69vuENwKpNlQzevWOEEUmcOb/PG51/RESKyyvzV7eo0U2nNmUcO6IXY/bsytcPHkBJia4fIiIiEi9m9i1ginNuoXk/dv8EnAUsAS5wzr3f1DryVos9ZPeOtK8oZduO2nytkr9PX87fWV7//o5XFvHiVV9gbw3lIkXgs42V7NE1qyHjRCREO2rqOOjmf7FhW3VkMXz/uL256PCBdGpb3F3y/nvxurSNbsBrjCQi0ejVOfv8960Hpma13P0XHajhLKRVmPDkLCZlOVwzeL1KzFq+kVNue2PXGVNeArwywZXjNVyb5O7SLwzmntcW17/v3qEiwmgk7tKM9ioiIq3c51t3cFEzHrxOtrmqhhnLNvDbs/fPc1QiIiIiefNfwJ/91+cC+wGDgDF4Q1Ad2dQKcm54s31HLf/1yPu8+OGqXFeVlbZlpaFsRyRqvXTTuGD86qx9+dGTs6IOQ0LicGyprIk0ht9MXsBvJi+of9+lXTkbt+9sCHTJFwZz9fHDqChr3UNT9G2kceL6bTvYo0KNF0WicMFhA3nonU8b7wWsmapr6tAtYGkNbjxjFHt0a7dLA4dseD3beK+rqnZQUVFB2/JSThvdN4AopRjt1nHX35/73zCZK8cP5fvH7R1RRFIIamrVAkdEpBi8uWgtf3v305zW8Ts1uhEREZF4q3HOJW60nQo84JxbB/zLzP47mxXk1PBmU2U1p93+BkvWbWvR59/40TGUmNGhTRld2hX3U/siqUrV5WbBOGBA96hDkBC1KStl0c0nN+szU6ZM4aijjmLbjlpq6hw4qKqp5aCbX8pLTMmNbgDueW0xJ4zszQEDuuVl/XE1sEcHltxyCm8uWst5976zy7xfTPqQP5x3QESRiRS3duWlWfcK9uyVRzKib+eslp0yZV4uYYnEQvcOFVx78j5ce/I+PDltGT94fEbGZb999BCuOWFYg6FcpkyZwtFHHx1wpFJsXJouTG57aaEa3khaNXXe92Xh6s1NLCkiIoWurs41qHNpjjPH7sEvz9yXNnqgWkREROKtzsz6AJ8D44FfJM3L6invnBre7DfxxbTTp19/XH23xKoUFGmeg3qX8u7KWuoclKrtTUHYs3t7ADUglEaZ39B0p3KW3HJKxuVr6xwTn57DY1OX4gAc7Kity2pbXxrdt9U3ugHYUlXDm4vWsnpTw141np21ko3bq5UvRUI0b+Um1myuoqbOsb266eFnb/3q6Kwb3Yi0NrV1LqVc0NDp+/dt0OhGJEhHDu3B6wvX1r8/bXRfPtuwvdFeBqU4VfnX+QG7tY84EhERCVpJifHXiw/ml8/NZc5nm5r9+R01dWp0IyIiIoXgp8BUoBR42jk3B8DMjgKy6ro6p4Y3N50xiuv+MRuACw8byMTTRuayOhEBVm71nhx7fOpSzjloz4ijkWwkOidqX6EfkZI/pSXGjWeM4sYzRu0y3TnHX9/5lOv96286kz9cGXR4kXLOMWv5Rk6/803SPJxdr7ZOXd+LBGXbjhpeW7AGM8OA6Z9u4O5XP2ryc//4zuHs379r8AGKxNyEJ2fy+LRlGedfetRghvdWwzQJj5nx4MUHM3DCpPppT8/4jKdnfNZoY3EpTt3aV2BAVXV2DwaIiEhhu+yv09hS1bJh1y87akieoxERERHJP+fcM2Y2AOjknPs8adZU4Oxs1pFTw5vzDt6zvuHNS/NWqeGNSB4kbhO/Mn+1Gt4UiMSwYCs2VrJk7VYG9ugQcUTSmpkZ3zhkAN84ZADOOQb9+NkGyzz0zUMiiCw8973xMTdNmtvoMu9ffxzd/N73RCT/Ln9oOlPmr2n25864803uu2Ac4/fpFUBUIoWjsUY39190IMcM6xliNCI7LbnlFPad+AKbK72baxccOiDiiCSOSkoMByxZtzXqUEREJAQnjurNE42UXxNuOH0k5x86MPiARERERALgnKvBG2oqeVrWP3xLctl4crfXS9dv58qH389ldSICtPObw33/uGHRBiJZS37io393dbUt4TEz/vGdwxtMP+uut6hrxb29nDW2H8fu05Mxe3alT5e2aZdRoxuRYE380khOGNmL40b04th9ejF+eE+G9+6U1Wd369gm4OhE4u8P543NOK935/TXNpEwbK2qqW90A/D1Q9TwRhpK9Cw5pGfHiCMREZEwZNOj8P+eP06NbkRERKSo5dTjTaqZyzbkc3UiRWlszzIWfL6DDm00bFGh6Nhm56k00fuNSBg+27CdM+58M+28f81dxfEje4ccUTi6dajg3gsOrH+fPCQCwMyJx4cdkkjRGdijA3/8xrhdpv36hXnMW7m50c89cdmhGmpKBBjRp+EwUuce1J9fnrlfBNGI7FRWuuvvmaG9smtUKcUl8S15a9G6SOMQEZFwPPX+8iaX+dYDU9NOn3TlEYzs2yXfIYmIiIjETk493kx8ek7962nXHcuUHx6Tc0Aixa7WeU8QqAFH4TAzRvTpzD5pbqCIBKl357Zcffzeaedd8uA0nGu9vd405q1Fa6MOQaTobKqs5s5XPmpyuSemLWPqkvUhRCQSb/e8vrjBtK+N6x9BJCK7alO26wMgxVqelMaV+PUVRw7tEXEkIiIShn9ecUSLP1tXl8dARERERGIsp4Y3f35rSf3rs+56SxUyInnw3spaAGYu2xhxJJKtyupaNmzbQae2ee1ETKRRr8xbzR+mLOJ/XlyQcZnq2uK8Ll/21+kM+vEktu2oaXphEcmLzm3Lufbk4U0u98h7S/nK3W+HEJFIvK3bUtVg2pf/8BYDJ0zia398m61VuoZJdI4b0av+dSsevVRykBhypKIsp2pFEREpEB2bUedZUVbCO9eOZ8ktp7DkllPYt596uxEREZHikNMv5Dv+Y0z96yXrtjHox8+yqbI656BEitn2Gq8C64vDe0YciWRr+ief89nGSmYu28AbC9dSWV0bdUjSyr2+cA0X/fm9RhvdfPeLexVNRfiLV32hwTTnYNWmhjc1RSQ43zxicJPLnLJfH15TL5ki/PEb41hyyykcM2z3BvPe/Xg9KzZWRhCViGfyh6vqX//wiRlqzCwN7Kjxui9I7SFJRERap0E9OvCzL43IatkdNXUcfPNL9dcKERERkWKR0x25E0b2bjDtovvfy2WVIkVv1Tav4c1Vj34QcSSSrUMG78aEk4ZTWV3H1+97h+HXP8/nW3dEHZa0UnNXbOIb973b6DLXnbIPPzh+WEgRRW/vXp0YN6Bbg+kDurePIBqR4mUGXzmgX6PLTJq5gienLwspIpH4+/5x6a/XGnZW4uLv05fzzxmfRR2GxJABazarobuISLEY2rMT152yD4O7ZHdL6Tt/mx5wRCIiIiLxktO4KNuqGvbqcODA7rmsUqTo9e9UwtLNdTwzcwV3/EfU0Ug2SkqswU3/dhV68k8a98r81YE1Vr1p0lxumjSX7x07lPMPHUj3DhWBbCdKT72/jDcXrSNxX3KfPp2Z+snnuywz+NpnOWlUb+76+gERRCjSOq3dUsUPH5/Bxu3VTP90A+Dlv/YVpZSXGuWlJezdqyMLVm3JuI7fv7SQ37+0sMH0d68dT8/ObQOLXSRKzjkeePsTXpq3mnblJbSvKGPSrBUZnwS++vEZPPntw0KOUsTz14sP5uv3vVP/fs5nm6hoo6fWZae25SW0LYPKGvX2KiJSDO58ZRG/fmF+sz5z2VFD2L6jlrblJZipUbmIiIi0fjk1vOncrow2ZSVUJVUWLlq9OeegRIrZkK5ewxuA219ayNkH9adnJ92EirvlG7bv8v78+96lvMz4aPVWLj1qMMN7d6ZT2zLalpfSrqKUduWltK8opU2ZfnwWqy2VwXfZ/7t/LeR3/9r15na/bu2Y9N0j6dK+PPDtB2XtliquenRGVsv26dIu4GhEissj737KK/PX7DJt7opNeVl3lboil1ZsU2UNP3t6TtbL9+um65dE54ihPTh53948O2slAA+8/QmrBpTx5YjjkvjYsK2a7TXQs1ObqEMREZEQNLfRDcBZd70FwOVHD+GaE4fnOyQRERGR2Mmp4c35f3q3QQX5947dO6eARIrdmUMr2FbamXeXrOfWyQu4dfICAPp3b8fS9dub+HQBeX5SYKs+Y/++/O6cMYGtP53T99+DIbt35OK/vMfw3p2prK7lzUXrAPj5Pz9s9LNty0soKymhxLybMs0W4LH86akj+M8jBgW2/mL2pdF9+dLovjmt489vfszdry4GYOWmSgBKDBzgvFHrGNqzIwtX7+x5Ytnn2xl9w4vN3lZZiTHjZ8fToU1ORYesTPtkPWfd9TYAA3drT3WtY0dtHTW1dVTXOqpr09+cn3/TibQpU29TIsmcc1zy4DQmf7gq53VVlJbQpqzlI9Xef+GBHDO8Z85xiBSiLu3Kef2aY/hozRYqq2vZXl3LNU/MpLrW1S+zV8+OPH7poXRrhT3VSeH59lF71Te8AThtL30vZafEmatz28JtzC8iIvlh5g0/aGYYUOJPMLy6pFP3y63uS0RERKRQ5HT37PWFa+tfL7nllJyDERHoXGE8dtmhrN+6g7E3Tq6f3qoa3QQsqifmR+3RhXeuPXaXadW1dSxYtZmbn51LbZ3DMBav3cKqTVX1y1RW1wHxfMr//aUbog5BGnHh4YO48PDMDaNWbqxkwt9n7tLwpqVq6hyu6cXyItHoBmC/fl0pLy2hoswbwqaspITyMqOquo4/v7UEgGtPHs7Z4/ZUoxuRDNqW5ydv7KitY4ff8O3Ekb0ZsFt7MHhu1ko+Xb+N0f268H9XHJGXbYm0Rv27t6d/9/b17788pl+E0Yg0bt9+XXZ5/69PqlGtjyRU+UNMtdcQyyIirV5VmmEFrzlxGJcfvVcE0YiIiLQeI9oM46VBr0QdRmz1yK0ZSyQKL2KRInHri83vwjOdwT06cPc3DqDEjBLD/2+YQUnJzmmWNK/EvKcUGizv/y8vbfnT7gBTpkzh6KOPzsv+xV15aQn/nLGivvebVCP7dqasxCj1/95b8nmzt3H/hQcytFdHbx1mlCT+m1FSAqUl3uvk+VIc7n/rY6akDAmTjccuPZSDBnUPIKLmu+3czL1XTTxtZIiRiBQmM+P2c8dweyN5CbyecWrrXH0PUztq6ti4vZpLHpzK4jVbGyz/iy+PYreO3vASPz5pn0BiFxGRaL1z7XgOvvklAJ5aVM2tdU6/JQSArVXeTdjPNlZGHImIiARtzeaqBtMee2+pGt6IiIjkaN6WLRz+1r+jDkPyyJzL/vl1M1sDfNLMbfQA1ja5VOEJar8GOOd2z3UladIqinSIKu3D2m5rSquwhb2PrTmtWlsMQaVV1OKQTvnWA+iQa3qlpFUcjlNrjaE1nwcbE/f4oGGM+UyrrcR//5sjbukZRL6Kch9b87bzlVabgfy0js9NXPJCIV2v8qU155Pmbr9YyxYQ/xiLPa3iGFdzYso5vTKcA+N4XJLFPT5Q3kqIe3wQXlrlqhCOZTpBxh10WukeSf4U6zkQ4h+jrlc7xT1GpdVOhRhjvsrtcaq/jVs61B9jM3seL76WaAskPzVyj3PunlyDS6dZDW9atAGzqc65cYFuJAKFtl9RxBvVMSq0tElV6PFno7XsYxz2QzEUhtZ4jILYpzgcJ8XQPHGPNe7xQbAxFsL+N0dr2590otzHYt12c8QlTsURnWLOJ2FtP+r9zEbcYyz2tIpjXHGIKQ4xNCbu8YHyVkLc44PCiBEKJ85UhRo36B5JISiEuOMeo65XO8U9RqXVTsUcY5z2PU6xFKrcxosRERERERERERERERERERERESlSangjIiIiIiIiIiIiIiIiIiIiItICYTS8CWSMrBgotP2KIt6ojlGhpU2qQo8/G61lH+OwH4qhMLTGYxTEPsXhOCmG5ol7rHGPD4KNsRD2vzla2/6kE+U+Fuu2myMucSqO6BRzPglr+1HvZzbiHmOxp1Uc44pDTHGIoTFxjw+UtxLiHh8URoxQOHGmKtS4QfdICkEhxB33GHW92inuMSqtdirmGOO073GKpSCZcy7qGERERERERERERERERERERERECo6GmhIRERERERERERERERERERERaYG8Nrwxsz+Z2Wozm500rbuZTTazhf7/bvncZhjMrL+ZvWJmH5rZHDP7L3967PfNzE40s/lmtsjMJgS4nUiPkZmVmtn7ZvaM/36Qmb3j7/ejZlYRxHbzKay0CkNzzgXmuc3f75lmNja6yLMTRVpFncdSYin4/BaWTOlWyMysrZm9a2Yz/H36eZ7WG8vrVVDnqGzzkZm18d8v8ucPzMf2mxFnVucYM7vAX2ahmV2QNH2Kn64f+H898xhbo9+Zxo6dmf3Ynz7fzE7IV0z5iM/MBprZ9qRjdndQ24qrLPbnQjNbk3SMvhlFnPkUZtmikfPgRDNbnnRcTw5o+0vMbJa/jan+tFj+rooqVotBWTpDDBm/I2GcV8MWdvpHme5hp3e2x9FCLl9kcf2JtGyRS4zWgvJFLnEEqTl5M6hzpL/uvOTZTN/zFsQTy3zlrzvWeSuKfBXX9FJaBasZ6V6bFOvTYcfpx1BQvzGziPcLZjbdzGrM7CtJ0wf40z8w77fRZWFsN2l+ZzNbZmZ3hLHNOHy3/Dh0Dgw5xpaeB5VW4cfY0rRqaRxBsZiVlTPEmLf7BEHGKQXGOZe3P+ALwFhgdtK0/wYm+K8nAL/K5zbD+AP6AGP9152ABcCIuO8bUAp8BAwGKoAZwIjWeIyA7wN/A57x3z8GnOO/vhv4dtTpEZe0Cml/sj4XACcDzwEGHAK8E3X8cUyrqPNYSiwFnd9C/r6kTbeo48pxnwzo6L8uB94BDslxnbG9XgV1jso2HwGXA3f7r88BHg05vZs8xwDdgcX+/27+627+vCnAuADiavI7k+nY+ek9A2gDDPLXUxqj+AaSdP0Mcltx/Mtyfy4E7og61jD3Oc/by3QenAhcHcL+LgF6pEyL5e+qqGIlBmXpDDGk/Y6EcV4thvSPMt3DTu9sjiMhly+yORcTYdkiDzEOpBnli1zjCPKvOXkz33klZZs559nGvuctiCd2+SoP39tWVW6Pe3oprYL/yybd/XlbIo6zoH5jZhnvQGA/4AHgK0nTK4A2/uuOeNeYvkFvN2n+7/HqhrL6fZvrNqP+biXFoXNg+DG26DyotCqctGppHEH9EbOycoYY83KfIOg49VdYf3nt8cY59xqwPmXy6cBf/Nd/Ac7I5zbD4Jxb4Zyb7r/eDMwF9iD++3YQsMg5t9g5twN4BC/mvIvyGJlZP+AU4F7/vQFfBJ4Icrt5FlpahaGZ54LTgQec599AVzPrE06kLRJJWsXlPNRK8ltoGkm3guXn1S3+23L/z+W42jhfr/J+jmpmPkqO6wlgvL98WLI5x5wATHbOrXfOfQ5MBk4MOK5svjOZjt3pwCPOuSrn3MfAIn99cYkvztsKQ6sqE2Up1H2O6bUp7r+rkgUeaxzK0hliyCSM82pcBJb+UaZ7BOkdx/JF3MsWucYYdhxhC72+IU95Np/f8zjmK4h/3ooqX8UxvZRWwSuUMm+hHesm43XOLXHOzQTqUqbvcM5V+W/b0LwRIlq8XQAzOwDoBbwY1jZjROfA8GNsKaVV+DGGHUcgYlhWThdjvu4TRFHGlpjKa8ObDHo551b4r1fiFSYKlt/d1xi8J/zjvm97AEuT3i8jhEr1CI7R74Br2FmY3A3Y4Jyr8d+Hst85iiStQpbpu1Bo+x55vBGfh1pDfotESroVNPOGSfoAWI1XqMx1n+J8vQoitubko/rt+/M3+suHJZtzTFPH6H6/a9Tr8/gDMpt0yXTswvi+5RIfwCDzhiJ71cyODHhbcZNt+pzld+v6hJn1Dye0wERWtkhzbbrCP7j7ZMYAABjRSURBVK5/suCGe3LAi2Y2zcwu8afF9XdVnGKNS1k63Xck8vJxQOKQ/lGne1DpHcfyRdzLFrnGCM0rX+QaR5CakzfDjrW5ceQzvjjmq2y2ucsyrbzcniyO6aW0Cl625Yi2ZjbVzP5tZlE0zim035g5ff/MG2pkpr+OXznnPgt6u2ZWAtwKXJ1tnLlu0xf1dytB58DwY4SWnQeVVuHHCK2n3J4qyrJyo3K8TxC34ywRKgtzY845Z2a5PhUfGTPrCDwJfM85tyn5GlHo+5YvYR8jMzsVWO2cm2ZmR+dz3RIc5ZeWi/I8pPzWcqnpFnU8uXLO1QL7m1lX4CkzG+Wcm93U5+IkqrwUx3xkZv8CeqeZ9ZPkNy08Luc555abWSe84/0NvO6OJbMVwJ7OuXXmPQH3DzMb2RrOHXn0T+Bh51yVmV2K9/TJFyOOqeCkOQ/eBdyId0PzRryK4P8MYNNH+OeFnsBkM5uXPDNm5cRYxhrhMQrrOxIXsUr/CNI9p/RW+SJ2WlP5IlZ5M5OA6sCUr+Kl0Xyl9IqV0M6BeUr3AX76DgZeNrNZzrmP8h2reJxzS4H9zKwv3nfjCefcqoA3eznwrHNuWf7aOWYltO+WzoGxk/E8qLSKndZUbs8oLmV2aJ33/s2sFpiVNOkM59ySZnz+MmCbc075tZnCaHizysz6OOdWmNfl0uoQtpl3ZlaOl/Eecs793Z8c931bDiQ/AdzPnxaIiI7R4cBpZnYy0BbojDc2alczK/Nbiga633kSalpFJNN3odD2PbJ4Y3Aeai35LVQZ0q1VcM5tMLNX8LpOzKXhTZyvV/mOrbn5KLH9ZWZWBnQB1uWw/Qacc8dmmmdm2ZxjlgNHJ73vhzeGM8655f7/zWb2N7wuTvNRYM8mXTIduzC+by2OzznngCoAv4HWR8DewNR8b6u5OxWSJvfHOZcc+714Yy8XstDLFunOg8mVy2b2v8AzQWw76byw2syewjsvxPJ3Vcxijbws3ch3pNDK81mJSfpHlu65pncBli/iXrbIKcYWlC9yjSMwzcybYcfa3Dgyfs/TKcB8ldhmnPNWYPmqANOraNMqn/KQ7snpu9jMpuA9gR9mw5tC+42Zl++fc+4zM5sNHMnOocCD2u6hwJFmdjnQEagwsy3OuQkBbjPU75bOgYVTFlRaFU5aBRRHmAItK7dEnu4TBB5nC2x3zu3f0g875+7OZzDFJIyhpp4GLvBfXwD8XwjbzCvzmrfdB8x1zv0maVbc9+09YKiZDTKzCuAcvJjzLqpj5Jz7sXOun3NuIN7+veycOw94BfhKUNsNQGhpFaFM34WngfPNcwiw0e3sxi2OIkmrOJyHWlF+C00j6VawzGx383q6wczaAccB8xr/VJPifL3K6zmqBfkoOa6v+MuH2co+m3PMC8DxZtbNvGEojgdeMLMyM+sB9T9iTiW3BlrJsvnOZDp2TwPnmFkbMxsEDAXezVNcOcfn57FSAPOeQhsKLA5iWy3ct6A1uT/+j96E0/DGYC5koZYtMp0HU47rl8lffk3edgfznnTDzDrgnS9mE8PfVTGMNfKydCPfkTDOq6GKUfpHlu4Bp3ccyxdxL1vkFGMLyhe5xhGIFuTNsOsbmhtH2u95nredTOX2PMaXY76KY3oprYLXZLr76d3Gf90D7+GdD0OL0FNovzFbfF0ys37m1W3h57MjgPlBb9c5d55zbk+/buhq4IEsGt3ktM2YfLcSdA4MOcYczoNKq5BjbC3l9gyiLCs3YJa3+wSBxpkPZtbRzF4ys+lmNsvMTk+ad755Q0zPMLMH/WkTzexq//UQM3vevKF+Xzez4f70r5rZbP9zr0WzZzHknMvbH/AwXjdY1XhjmF2MNybdS8BC4F9A93xuM4w/vAKXA2YCH/h/JxfCvvlxLsBrufyT1nyM8FoUPuO/Hox3wVwEPA60iTot4pJWIe1L1ucCwIA7/f2eBYyLOv44plUc8lhKPAWd30L8rqRNt6jjynGf9gPe9/dpNvDTPK03lterIM9R2eQjvF5xHvenvwsMDjm9Mx2XccC9Scv9px/jIuAif1oHYJp/rOfg9exTmsfYGnxngBuA05o6dnjd5X6EV6F2UkDHrkXxAWf5x+sDYDrwpSCPRRz/stifX/rHaAZeo7XhUcccxD4HuK1M58EH/fPcTLzKhD4BbHuwn24z/DRMpG/sfldFGSsxKEtniCHjdySM82prT/8o0z3s9G5kvyItXxDzskUuMdKC8kVz4wjjr7l5M995JYt80+w40n3PWxhPLPNVLt9bf16rKrfHPb2UVsH+ZZPuwGF454kZ/v+LI4q1oH5jZhHvgXjn6q14vV7M8acf5+elGf7/S8LYbso6LgTuCGFfY/HdyjYv+O91DsxTjLTwPKi0Kpy0ak4cYfwRs7Jyhhjzdp8gyDhbuG+1Sfv0FN4ISJ39eT38OA0Y6X8/evjzEvs6Ebjaf/0SMNR/fTBeIzH8Y7CH/7pr1Psclz/zD4iIiIiIiIiIiIiIiIiIiIiIFCDzhi/smPS+HPgt8AWgDhgGDAK+CvR2zv0k5fMTgS3A3cAadu0Nro1zbh8zuxsYAjwG/N05F9WQk7FSFnUAIiIiIiIiIiIiIiIiIiIiIpJX5wG7Awc456rNbAler0tNKQE2OOf2T53hnLvMzA4GTgGmmdkBanzjHTARERERERERERERERERERERaT26AKv9RjfHAAP86S8DXzWz3QDMrHvyh5xzm4CPzeyr/nwzs9H+6yHOuXeccz/F6xWnf0j7EmtqeCMiIiIiIiIiIiIiIiIiIiLSujwEjDOzWcD5wDwA59wc4BfAq2Y2A/hNms+eB1zsz58DnO5P/7WZzTKz2cBbwIyA96EgmHMu6hhERERERERERERERERERERERAqOerwREREREREREREREREREREREWmBgm14Y2a9zewRM/vIzKaZ2bNmtrc/73tmVmlmXZKWP9rMnkmznilmNi7M2IuBmdWa2QdmNtvM/mlmXf3pJWZ2mz99lpm9Z2aD/HlLzKxH0joapJmZ/cPM/h3u3rRejaTTQDNzZnZT0rI9zKzazO7w3080s+X+5xN/Xf1022hm75vZfDN7zcxOjWofW5Mm0mu7f8znmtm7ZnZh0ucuNLM1KWk1IulzH5jZh2Z2t5kV7HUhLppIp9kpy040s6v912Zm15nZQjNbYGavmNnIpGWX+OfND/z/pyOBMrNeZvY3M1vslzXeNrMvJ53nPjCzeWb2P1HHWozM7CdmNsfMZvppcbCZlZnZzX4+SpzvfpL0mbT5U4LhlyVuTXp/tZlN9F8nlyNmm9lpSdOvTllPfRnRzLaEuAtFKSWfPG5m7VOmJ/4m+NOn+GW+xPSvRLsHxSMpTeaY2Qwz+4F5v7dOSEqPLUnp84CZdTSzP9rO39FTzOzgqPel2GS4hiXy0gwze9PMhkUdZ7FLymMzzGy6mR3mT29vZg/5ZfLZZvaGmXWMOt5i01i5zsxGmtnLfp5aaGbXm5n585J/H39oZt+Kbi+KQwuvV8pnIcmUPknzDzKvbm++efVO9ybKh/78BnW16cr00nKNpZE1Uj/hn+/uSFlX/b0QM+vi57dFftnwAUu6n1KMzPsN+9ek92X+NeMZ/31Tv1cbS6v3zWz/pPVuMbOvJ61nmpmNtcbrcWcnLX+Qn54L/XLKJDPbt4k4eyWtc6XtWrdfkf8jWhgylSks+3skVyfNv9rPix+Yd+/r/PD3qHXKlE7+vBaV/czsDD+Nh0exT8Wgkfw1zj9XVvjvh5hXB99Z1ycpZAV5g9U/YT4FTHHODXHOHQD8GOjlL3Iu8B5wZkQhCmx3zu3vnBsFrAe+408/G+gL7Oec2xf4MrAhmxX6J+QDgC5mNjiAmItRpnQC+Bg4Jen9V/HG70v2W//zib9EWr7unBvjnBsGXAncYWbjg9qJItJYen3kH/N9gHOA75nZRUnzH01Jqw+TPrc/sB8wAjgjjB1p5RpLp8Z8BzgMGO2c2xv4JfC0mbVNWuYYP72+AtyWz6BlV35Z4x/Aa865wX5Z4xygn7/I635ajAFONbPDIwq1KJnZocCpwFjn3H7AscBS4Ca8csa+fvocCZQnfbSl+VNapgo405IaVqf4rZ9OXwX+ZGr8GRfJ+WQHcFnK9MTfLUmfOS9p+hPhh1y0EmkyEjgOOAn4mXPuhUR6AFPZmT7nA/finf+G+te2i4BMeVQC0Mg1DLy0Gg38Bfh1RCHKTok8NhqvzumX/vT/AlY55/b1z5UXA9VRBVnE0pbrzKwd8DRwi18nMRrvd9blSZ991D9HHg3cbGa9kCC15HqlfBaetOkD3sMowOPAj5xzw5xzY4DngU7+fNXVhiNjGvlaWj9xH7DYObeXc24IXl3wvfkMvABtBUb51xLwjvfyZny+sbR6E+96BN61aUHivZl1AIYAM/z5mepx8ZfvBTwGXOucG+qcG4tXThnSRHy1Sefdu9m1bn9HM/aztcn1HgkAZnYZXrof5B/j8YAFE3JRCqLsdy7whv9fgpE23ZxzU4FXgUTDtTuBnzjnNqHrkxSwQq3cPgaods7dnZjgnJvhnHvdzIYAHYHr0MkyLt4G9vBf9wFWOOfqAJxzy5xzn2e5njOBfwKP4N38lPxKTieAbcBc29kj1Nl4Bfpmcc59ANwAXJFzhJIsNb3qOecWA9/Ha/SUFedcDfAWsFdeopOEjOmUxo+AK5xz2wCccy/ipcl5aZbtDGR77pSW+SKwI6Ws8Ylz7vbkhZxz24EPyD6dJT/6AGudc1UAzrm1eA15vwV81zlX6U/f7JybmGEdzcmf0jI1wD3AVY0t5Jyb6y+rm//x8zoqGxQE59xq4BLgisSTfan838oHA9cl/R772Dk3KbxIhTTXMOfcZynLvIbyXtwkl7/7kHQTzjk3P5GeEpnkct1/AG/6v6fwf19dAUxI/ZB/7vwIGBBSnEUvm+uVT/ksAmnS5zvAX5xzbyct84RzbpX/VnW1IWssDzWnfsLM9sJrNHVj0uQbgHF+mbGYPcvOhhbnAg+3ZCVp0uotdja8OQyv4cv+/vuDgGnOudosV38FXt58K2l7bzjn/tGSWGUXudwjuRb4tt9wAOfcJufcXwKLtLjlXPYzrye9I/Aa9+oaFo7U/HUt8C0zuwYoc849rOuTFLpCbXgzCpiWYd45eIX914FhemolWmZWitey92l/0mPAl/yuxW41szEpH3kl0b0hDVswJgq6D6NGVXmVJp0SHgHOMbP+QC2QWiF8VVJ3lK80sonpgLrry5NG0itZ6jE/23btorRd8sLmdRM8HpiV94CLVIZ0GpKcDvi9CJhZZ6CD32gq2VRgZNL7V8zrVvZVvAamEpyRePmoUWbWDRiKd4NMwvMi0N+8Ydn+YGZH4d2g/NQ5t7mpD2d5HpX8uBM4r7EuYc0b5qYOWONPuirlXNk3hDglhZmV4T2hmSgbtEspS5ydtPhDSdN3Cz9agfrG16VAzwyLjAQ+aEaFvgQj3TUs1ZdQuTwOEue9eXj1E4nK3z8BPzJvGNKbzGxodCFKmnLdSFLqDJ1zHwEd/d9dyZ8dDAwGFoUQqviyuF6B8llkUtKnsTp4UF1tJDLloQz1E2en/LZKNB4YQUq50H/9AbvWQxWjRH14W7wewt9p6YpS0iq5x5vD8NKpysw6+e/fSvpoo/W4ZFdnpd/VzZTDPZJE3W6nNHW7kmd5LPudDjzvnFsArDOzA4KOvZily1/OG0HjFrweuxI9Ten6JAWtUBveNOZc4BH/Cb4n8bp+k/C18wt0K/GGAJsMXg83wDC8bprrgJdShiA6Jqm7w28mJvoNqIYCb/gXwmozGxXOrrRqadMpyfN43SOeAzya5vPJ3VEe08h21KVifjSVXslSj3lqF6Xb/elD/HW+CUxyzj2X/7CLTmPp9FFyOuA93dIcx/jdMu6LN4SbxrgPiZndad743O/5k440sxl4T2G+4JxbGWF4Rcc5twXv6YdL8BprPIrXXWw9M7vIr2Ba6leOQPPOo5IH/pNeD5C+F7ar/PT4H+Bs55zzp/825VzZoFJLApXIJ1OBT/G6+IWGQ00llw2Th5paF3rEIgUk3TXMzC70Zz/k57/D2dnltkQncd4bDpwIPGBm5vfqOhhvOLDuwHtmtk+UgRapXMp1Z/uffRi41Dm3PogApeWUz+JPdbWx0lj9xKMpv62mRhNi4XDOzQQG4t1nejZ1dqaPZbHeT4AKM+uN97DkfOA9vB4pD8Orm03IVI+blpm9Y2Zzzez3SZP1uzp7ud4jkXDku+x3Ll6jKvz/akAajKbS7SRgFV6DG5GCV6gNb+bgVVTtwsz2xSvwTzazJXgXQp0so7HdL9ANwGsAUD8upnOuyjn3nHPuh8DNwBlZrO9rQDfgYz9tB6K0zYeM6QTgvLFdpwE/AJ7IYTtjgLk5fF48jaZXimyPeaIhyJhGhmOR5mlOOgH1N6a3WsMx0Q8gzbjBfqt9FUiDNQcYm3jjnPsOXqv83f1JrzvnRuO1tL/YzPZvuAoJknOu1jk3xTn3M7wuZL8E7Ok/LYZz7n4/L27Ee8IMWpA/JS9+h9d1b4eU6YmKwCOdc69HEJekl9zA5rt+eVAKgF+OqAVWZ1hkDjDaf9JMIpTmGnaWPyvRiO0M59zSCEOUFP4wKz3wy4LOuS3Oub875y4H/gqcHGV8RSpTue5DUuoM/fPjlsTQD+y8oXmwc+6p0CIWIKvrFaB8FpWU9ElbB+9TXW1E0uShltRPfAjsb2b194f81/v784rd03gPiKQOM7UO73ufrBPe0NcNpEmrt/AeFF/hP3jyb7wG1wfhDcGSrdQ6q4OB64GMPc1Ko3K+R+KXMbakqduV/Mlb2c/MugNfBO71r2E/BL5m1ugwmNIyGfOXmZ2Kd946Afi1PyqDrk9S0Aq14c3LQBszuyQxwcz2A24DJjrnBvp/fYG+ZqaxmiPivPEUrwR+YGZlZjbWzPpC/clyP+CTLFZ1LnBiIm3xLqQadzFPUtMpZfatwI9a+gSYnzevxxtqQvKgifTCzAbi/Ti8PdzIJFlT6ZTGr4HbEt3HmtmxeOPM/i11QTPrCQwiu/OntMzLQFsz+3bStPapCznnPsbrEvNHYQUmYGbDUrqb3x/vabH78HqDausvVwpUpH6+BflTcuCXIR7Da3wjIgEws93xetK7I6n3qF34DXenAj9PVCia2UAzOyW8SCXDNUxlupgzs+F4DXnXmdnh/nAemFkFXmN4pWFE0pTrHgKO8H9P4f++ug347+iilIRsrlf+cspnEUiTPncAF5g3NGximTP93m5UVxuBxvJQc+onnHOLgPfZdRjz64Dp/rxi9yfg58651KE/XwNOSzzwY2ZnAjNcmqFcM6TVW8D32NnI5m3gfGClc25jM+K7E7jQzA5LmtagzkqaJw/3SH4J3JkY3sjMOprZ+cFEW7zyVPb7CvCgc26Afx3rD3wMHBls9MUrzb3idsBvgO/459r/A36i65MUuoK80eCcc2b2ZeB3ZvYjoBJYgjfEwLdTFn8Kr9D/DjDezJYlzdMwVCFwzr1vZjPxfpCtAf7XzNr4s9/F+xGXkd+IYABeC/DEOj82s41mdrBzrsXjrMpOKen0etL0OaTpccN3lZl9Pel9oveiI83sfbwC/2rgSufcSwGEXbTSpNcQ/5i3BTYDtznn/pz0kbPN7Iik95ejLkYDlylfZXA73lMzs8ysFq/7xdNTupN9xZ9XDkxwzq0KIm6pL2ucAfzWzK7Bu35tJX0F1t3A1WY20Dm3JMQwi1lH4HYz6wrU4I3NfAle7zY3ArPNbDOwHfgLac53KfnzwbACL2K34vXqIIUr0T1wwvPOuQmRRSOwM03K8c6FD+JVXDXmm3j5cZGZbQfW4j3dJ+HJdA3LpYdRCUbyec+AC5xztWY2BLjLb8BWAkzCG+pcIpJcrnPOPWhmp+PlszvxGkw9SBN1TxKollyvlM/CkzF9nHOrzOwc4H/8B4Dq8BoezKORulp/0nVm9r2k+f1C2ZvWqTl5qL5+Iov1Xox3rvzIf/82elgCAOfcMrwb96nTZ5rZHcAbZubw6r2/mbRIU2n1JvBb/IY3zrkV/gNDb6VsqtF6XOfcSjM7G/iVme3hx7EWuKEl+ys7tfAeScJdeGX998ysGqjG++0leZaHst+5wK9Spj3pT38tiJilQf7aB3jKOZfoxWYiMMPM/oyuT1LArJGHC0REREREREREREREREREREREJINCHWpKRERERERERERERERERERERCRSangjIiIiIiIiIiIiIiIiIiIiItICangjIiIiIiIiIiIiIiIiIiIiItICangjIiIiIiIiIiIiIiIiIiIiItICangjIiIiIiIiIiIiIiIiIiIiItICangjIiIiIiIiIiIiIiIiIiIiItICangjIiIiIiIiIiIiIiIiIiIiItICangjIiIiIiIiIiIiIiIiIiIiItIC/w/bfQxZrujeXgAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 2880x864 with 22 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V5HQVSyMy4vu"
      },
      "source": [
        "有这么多曲线不太容易读懂，但它快速灵活，在尝试新的机器学习思想时应该很有用。\n",
        "\n",
        "如果该图更易于定制，那就太酷了。 让我们尝试一下“ ipywidgets”库，该库为我们提供了一些控件来更改绘图参数。 在这里，我们将创建一个下拉菜单，让我们更改显示的状态。 我们将使用一个多选框来指示要在绘图中包含哪些曲线（默认情况下，所有曲线均处于选中状态）。 单击以按住shift，控制（或命令）以选择多个曲线名称。 单击按钮以根据您的选择生成图。"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n3it9XgWy4vv",
        "outputId": "05d5d5a6-f5cb-4b47-dab5-204c61be92eb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 930,
          "referenced_widgets": [
            "7d72dfc5719343e6a9702168ded38ddb",
            "77c46c40007f4ed4aef5bfa22cc589b6",
            "2adcaad278174175902fba3ac11eed23",
            "7b3c37e20baf40a18654157a011426b3",
            "c86330d7e8d4476c9c6f9f1e69b326ba",
            "5715d3799dc04309a5a92e4ea27a2c82",
            "01bab143f38b4c309ea69ecc750fb740",
            "a1c2d07c8a8e48f7ac2e0fa4506896d1",
            "d40e4d142784446fbe34f1800020b7cd",
            "cabff2d4b00b4efd8a4e3f3fe568f11b",
            "b68b726a773b4d40acf8227c27c14cd7"
          ]
        }
      },
      "source": [
        "plot_output = widgets.Output()\n",
        "\n",
        "dropdown_well = widgets.Dropdown(options = wells_df['WELL'].unique(), description='Well:', value='15/9-13')\n",
        "\n",
        "select_curves = widgets.SelectMultiple(\n",
        "    options=columns,\n",
        "    value=columns,\n",
        "    #rows=10,\n",
        "    description='Curves:',\n",
        "    disabled=False\n",
        ")\n",
        "\n",
        "plot_button = widgets.Button(\n",
        "    description='Show well plot',\n",
        "    disabled=False,\n",
        "    button_style='', # 'success', 'info', 'warning', 'danger' or ''\n",
        "    tooltip='Click to plot well.'\n",
        ")\n",
        "        \n",
        "def on_button_clicked(b):\n",
        "    plot_output.clear_output()\n",
        "    with plot_output:\n",
        "        make_facies_log_plot(\n",
        "            wells_df[wells_df['WELL'] == dropdown_well.value],\n",
        "            select_curves.value,\n",
        "            facies_colors)\n",
        "        \n",
        "plot_button.on_click(on_button_clicked)\n",
        "\n",
        "display(dropdown_well)\n",
        "display(select_curves)\n",
        "display(plot_button)\n",
        "display(plot_output)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "7d72dfc5719343e6a9702168ded38ddb",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Dropdown(description='Well:', options=('15/9-13', '15/9-15', '15/9-17', '16/1-2', '16/1-6 A', '16/10-1', '16/1…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "7b3c37e20baf40a18654157a011426b3",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "SelectMultiple(description='Curves:', index=(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "01bab143f38b4c309ea69ecc750fb740",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Button(description='Show well plot', style=ButtonStyle(), tooltip='Click to plot well.')"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "cabff2d4b00b4efd8a4e3f3fe568f11b",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Output()"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uckRtQUSy4vx"
      },
      "source": [
        "我希望这会为您提供一些有用的代码，用于在FORCE 2020数据集中绘制井曲线和岩性。 请随时使用任何或所有此代码进行自己的工作。 有很多方法可以可视化Python中的测井记录。 Ashley Russell撰写了很棒的教程，介绍如何在Jupyter中构建交互式测井曲线图。\n",
        "\n",
        "This notebook is open source content. Text is CC-BY-4.0, code is [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0).\n",
        "\n",
        "### References\n",
        "\n",
        "Bormann P., Aursand P., Dilib F., Dischington P., Manral S. (2020) 2020 FORCE Machine Learning Contest. https://github.com/bolgebrygg/Force-2020-Machine-Learning-competition"
      ]
    }
  ]
}